[ Started: 2023-10-21 15:06:48 CEST ] [ decoupleR v2.6.0 for BioC-3.17 from https://github.com/saezlab/decoupleR@RELEASE_3_17 ] [1] "Libraries: " "/home/omnipath/local/R/4.3-3.17" [3] "/home/omnipath/local/R/4.3" "/usr/lib/R/library" 'getOption("repos")' replaces Bioconductor standard repositories, see 'help("repositories", package = "BiocManager")' for details. Replacement repositories: CRAN: https://cloud.r-project.org Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) 'getOption("repos")' replaces Bioconductor standard repositories, see 'help("repositories", package = "BiocManager")' for details. Replacement repositories: CRAN: https://cloud.r-project.org Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) Warning message: package(s) not installed when version(s) same as or greater than current; use `force = TRUE` to re-install: 'BiocCheck' sitmo (NA -> 2.0.2 ) [CRAN] dqrng (NA -> 0.3.1 ) [CRAN] RcppProgress (NA -> 0.4.2 ) [CRAN] irlba (NA -> 2.3.5.1 ) [CRAN] RcppAnnoy (NA -> 0.0.21 ) [CRAN] FNN (NA -> 1.1.3.2 ) [CRAN] polyclip (NA -> 1.10-6 ) [CRAN] deldir (NA -> 1.0-9 ) [CRAN] spatstat.... (NA -> 3.0-3 ) [CRAN] spatstat.... (NA -> 3.0-1 ) [CRAN] tensor (NA -> 1.5 ) [CRAN] abind (NA -> 1.4-5 ) [CRAN] goftest (NA -> 1.2-3 ) [CRAN] spatstat.... (NA -> 3.0-2 ) [CRAN] spatstat.... (NA -> 3.1-6 ) [CRAN] spatstat.... (NA -> 3.2-7 ) [CRAN] parallelly (NA -> 1.36.0 ) [CRAN] listenv (NA -> 0.9.0 ) [CRAN] globals (NA -> 0.16.2 ) [CRAN] RcppEigen (NA -> 0.3.3.9.3 ) [CRAN] progressr (NA -> 0.14.0 ) [CRAN] future.apply (NA -> 1.11.0 ) [CRAN] future (NA -> 1.33.0 ) [CRAN] sp (NA -> 2.1-1 ) [CRAN] RcppArmad... (NA -> 0.12.6.4.0) [CRAN] matrixStats (NA -> 1.0.0 ) [CRAN] gridExtra (NA -> 2.3 ) [CRAN] reshape2 (NA -> 1.4.4 ) [CRAN] here (NA -> 1.0.1 ) [CRAN] RcppTOML (NA -> 0.2.2 ) [CRAN] zoo (NA -> 1.8-12 ) [CRAN] reticulate (NA -> 1.34.0 ) [CRAN] selectr (NA -> 0.4-2 ) [CRAN] rematch (NA -> 2.0.0 ) [CRAN] cellranger (NA -> 1.1.0 ) [CRAN] textshaping (NA -> 0.3.7 ) [CRAN] systemfonts (NA -> 1.0.5 ) [CRAN] S4Arrays (NA -> 1.0.6 ) [CRAN] MatrixGen... (NA -> 1.12.3 ) [CRAN] DelayedArray (NA -> 0.26.7 ) [CRAN] GenomicRa... (NA -> 1.52.1 ) [CRAN] R.methodsS3 (NA -> 1.8.2 ) [CRAN] R.oo (NA -> 1.25.0 ) [CRAN] segmented (NA -> 1.6-4 ) [CRAN] plotly (NA -> 4.10.2 ) [CRAN] kernlab (NA -> 0.9-32 ) [CRAN] sparseMat... (NA -> 1.12.2 ) [CRAN] proxy (NA -> 0.4-27 ) [CRAN] beachmat (NA -> 2.16.0 ) [CRAN] rsvd (NA -> 1.0.5 ) [CRAN] ScaledMatrix (NA -> 1.8.1 ) [CRAN] Rhdf5lib (NA -> 1.22.1 ) [CRAN] rhdf5filters (NA -> 1.12.1 ) [CRAN] rhdf5 (NA -> 2.44.0 ) [CRAN] Summarize... (NA -> 1.30.2 ) [CRAN] iterators (NA -> 1.0.14 ) [CRAN] uwot (NA -> 0.1.16 ) [CRAN] spatstat.... (NA -> 3.2-3 ) [CRAN] SeuratObject (NA -> 4.1.4 ) [CRAN] sctransform (NA -> 0.4.1 ) [CRAN] scattermore (NA -> 1.2 ) [CRAN] Rtsne (NA -> 0.16 ) [CRAN] ROCR (NA -> 1.0-11 ) [CRAN] RANN (NA -> 2.6.1 ) [CRAN] pbapply (NA -> 1.7-2 ) [CRAN] patchwork (NA -> 1.1.3 ) [CRAN] miniUI (NA -> 0.1.1.1 ) [CRAN] lmtest (NA -> 0.9-40 ) [CRAN] leiden (NA -> 0.4.3 ) [CRAN] ica (NA -> 1.0-3 ) [CRAN] ggridges (NA -> 0.5.4 ) [CRAN] ggrepel (NA -> 0.9.4 ) [CRAN] fitdistrplus (NA -> 1.1-11 ) [CRAN] rvest (NA -> 1.0.3 ) [CRAN] readxl (NA -> 1.4.3 ) [CRAN] logger (NA -> 0.2.2 ) [CRAN] checkmate (NA -> 2.2.0 ) [CRAN] brew (NA -> 1.0-8 ) [CRAN] whisker (NA -> 0.4.1 ) [CRAN] ragg (NA -> 1.2.6 ) [CRAN] downlit (NA -> 0.4.3 ) [CRAN] R.utils (NA -> 2.12.2 ) [CRAN] mixtools (NA -> 2.0.0 ) [CRAN] DelayedMa... (NA -> 1.22.6 ) [CRAN] e1071 (NA -> 1.7-13 ) [CRAN] BiocSingular (NA -> 1.16.0 ) [CRAN] HDF5Array (NA -> 1.28.1 ) [CRAN] SingleCel... (NA -> 1.22.0 ) [CRAN] shape (NA -> 1.4.6 ) [CRAN] foreach (NA -> 1.5.2 ) [CRAN] Seurat (NA -> 4.4.0 ) [CRAN] OmnipathR (NA -> 3.8.2 ) [CRAN] pheatmap (NA -> 1.0.12 ) [CRAN] roxygen2 (NA -> 7.2.3 ) [CRAN] pkgdown (NA -> 2.0.7 ) [CRAN] ranger (NA -> 0.15.1 ) [CRAN] AUCell (NA -> 1.22.0 ) [CRAN] viper (NA -> 1.34.0 ) [CRAN] GSVA (NA -> 1.48.3 ) [CRAN] glmnet (NA -> 4.1-8 ) [CRAN] Installing 100 packages: sitmo, dqrng, RcppProgress, irlba, RcppAnnoy, FNN, polyclip, deldir, spatstat.utils, spatstat.data, tensor, abind, goftest, spatstat.sparse, spatstat.random, spatstat.geom, parallelly, listenv, globals, RcppEigen, progressr, future.apply, future, sp, RcppArmadillo, matrixStats, gridExtra, reshape2, here, RcppTOML, zoo, reticulate, selectr, rematch, cellranger, textshaping, systemfonts, S4Arrays, MatrixGenerics, DelayedArray, GenomicRanges, R.methodsS3, R.oo, segmented, plotly, kernlab, sparseMatrixStats, proxy, beachmat, rsvd, ScaledMatrix, Rhdf5lib, rhdf5filters, rhdf5, SummarizedExperiment, iterators, uwot, spatstat.explore, SeuratObject, sctransform, scattermore, Rtsne, ROCR, RANN, pbapply, patchwork, miniUI, lmtest, leiden, ica, ggridges, ggrepel, fitdistrplus, rvest, readxl, logger, checkmate, brew, whisker, ragg, downlit, R.utils, mixtools, DelayedMatrixStats, e1071, BiocSingular, HDF5Array, SingleCellExperiment, shape, foreach, Seurat, OmnipathR, pheatmap, roxygen2, pkgdown, ranger, AUCell, viper, GSVA, glmnet trying URL 'https://cran.uni-muenster.de/src/contrib/sitmo_2.0.2.tar.gz' Content type 'application/x-gzip' length 132964 bytes (129 KB) ================================================== downloaded 129 KB trying URL 'https://cran.uni-muenster.de/src/contrib/dqrng_0.3.1.tar.gz' Content type 'application/x-gzip' length 234461 bytes (228 KB) ================================================== downloaded 228 KB trying URL 'https://cran.uni-muenster.de/src/contrib/RcppProgress_0.4.2.tar.gz' Content type 'application/x-gzip' length 12077 bytes 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type 'application/x-gzip' length 162164 bytes (158 KB) ================================================== downloaded 158 KB trying URL 'https://bioconductor.org/packages/3.17/bioc/src/contrib/AUCell_1.22.0.tar.gz' Content type 'application/x-gzip' length 1770661 bytes (1.7 MB) ================================================== downloaded 1.7 MB trying URL 'https://bioconductor.org/packages/3.17/bioc/src/contrib/viper_1.34.0.tar.gz' Content type 'application/x-gzip' length 318575 bytes (311 KB) ================================================== downloaded 311 KB trying URL 'https://bioconductor.org/packages/3.17/bioc/src/contrib/GSVA_1.48.3.tar.gz' Content type 'application/x-gzip' length 2279731 bytes (2.2 MB) ================================================== downloaded 2.2 MB trying URL 'https://cran.uni-muenster.de/src/contrib/glmnet_4.1-8.tar.gz' Content type 'application/x-gzip' length 2439515 bytes (2.3 MB) ================================================== downloaded 2.3 MB * installing *source* package ‘sitmo’ ... ** package ‘sitmo’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include/ -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fopenmp -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include/ -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fopenmp -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c sitmo_demo.cpp -o sitmo_demo.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include/ -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fopenmp -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c sitmo_parallel.cpp -o sitmo_parallel.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include/ -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fopenmp -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c sitmo_runif.cpp -o sitmo_runif.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o sitmo.so RcppExports.o sitmo_demo.o sitmo_parallel.o sitmo_runif.o -llapack -lblas -lgfortran -lm -lquadmath -fopenmp -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-sitmo/00new/sitmo/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sitmo) * installing *source* package ‘RcppProgress’ ... ** package ‘RcppProgress’ successfully unpacked and MD5 sums checked ** using staged installation ** inst ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppProgress) * installing *source* package ‘irlba’ ... ** package ‘irlba’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -I'/usr/lib/R/library/Matrix/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c irlb.c -o irlb.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/usr/lib/R/library/Matrix/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c utility.c -o utility.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o irlba.so irlb.o utility.o -llapack -lblas -lgfortran -lm -lquadmath -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-irlba/00new/irlba/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (irlba) * installing *source* package ‘RcppAnnoy’ ... ** package ‘RcppAnnoy’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++17 g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include/ -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include/ -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c annoy.cpp -o annoy.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include/ -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c arch.cpp -o arch.o gcc -I"/usr/share/R/include" -DNDEBUG -I../inst/include/ -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.c -o init.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include/ -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c version.cpp -o version.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o RcppAnnoy.so RcppExports.o annoy.o arch.o init.o version.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-RcppAnnoy/00new/RcppAnnoy/libs ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppAnnoy) * installing *source* package ‘FNN’ ... ** package ‘FNN’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c ANN.cpp -o ANN.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c KNN_ANN.cpp -o KNN_ANN.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c KNN_correlation_distance.cpp -o KNN_correlation_distance.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c KNN_cover_test.cpp -o KNN_cover_test.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c KNN_cover_tree.cpp -o KNN_cover_tree.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c KNN_mutual_information.cpp -o KNN_mutual_information.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c bd_fix_rad_search.cpp -o bd_fix_rad_search.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c bd_pr_search.cpp -o bd_pr_search.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c bd_search.cpp -o bd_search.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c bd_tree.cpp -o bd_tree.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c brute.cpp -o brute.o gcc -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init_FNN.c -o init_FNN.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c kd_dump.cpp -o kd_dump.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c kd_fix_rad_search.cpp -o kd_fix_rad_search.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c kd_pr_search.cpp -o kd_pr_search.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c kd_search.cpp -o kd_search.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c kd_split.cpp -o kd_split.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c kd_tree.cpp -o kd_tree.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c kd_util.cpp -o kd_util.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c label_point.cpp -o label_point.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c perf.cpp -o perf.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o FNN.so ANN.o KNN_ANN.o KNN_correlation_distance.o KNN_cover_test.o KNN_cover_tree.o KNN_mutual_information.o bd_fix_rad_search.o bd_pr_search.o bd_search.o bd_tree.o brute.o init_FNN.o kd_dump.o kd_fix_rad_search.o kd_pr_search.o kd_search.o kd_split.o kd_tree.o kd_util.o label_point.o perf.o -L/usr/lib/R/lib -lR rm -f *.o core installing to /home/omnipath/local/R/4.3-3.17/00LOCK-FNN/00new/FNN/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (FNN) * installing *source* package ‘polyclip’ ... ** package ‘polyclip’ successfully unpacked and MD5 sums checked ** using staged installation checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether we are using the GNU C++ compiler... yes checking whether g++ -std=gnu++17 accepts -g... yes Using PKG_CONFIG: pkg-config Compiling against bundled copy of clipper library. checking for int64_t... yes In the clipper library, signed 64-bit integers (cInt) will be declared as 'int64_t' checking for uint64_t... yes In the clipper library, unsigned 64-bit integers (cUInt) will be declared as 'uint64_t' configure: creating ./config.status config.status: creating src/Makevars ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -DPOLYCLIP_LONG64="int64_t" -DPOLYCLIP_ULONG64="uint64_t" -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.c -o init.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DPOLYCLIP_LONG64="int64_t" -DPOLYCLIP_ULONG64="uint64_t" -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c interface.cpp -o interface.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DPOLYCLIP_LONG64="int64_t" -DPOLYCLIP_ULONG64="uint64_t" -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c clipper.cpp -o clipper.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o polyclip.so init.o interface.o clipper.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-polyclip/00new/polyclip/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (polyclip) * installing *source* package ‘deldir’ ... ** package ‘deldir’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using Fortran compiler: ‘GNU Fortran (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c acchk.f -o acchk.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c addpt.f -o addpt.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c adjchk.f -o adjchk.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c binsrt.f -o binsrt.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c circen.f -o circen.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c cross.f -o cross.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c crossutil.f -o crossutil.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c delet.f -o delet.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c delet1.f -o delet1.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c delout.f -o delout.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c delseg.f -o delseg.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c dirout.f -o dirout.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c dirseg.f -o dirseg.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c dldins.f -o dldins.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.c -o init.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c initad.f -o initad.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c insrt.f -o insrt.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c insrt1.f -o insrt1.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c intri.f -o intri.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c locn.f -o locn.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c master.f -o master.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c mnnd.f -o mnnd.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c pred.f -o pred.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c qtest.f -o qtest.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c qtest1.f -o qtest1.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c stoke.f -o stoke.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c succ.f -o succ.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c swap.f -o swap.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c testeq.f -o testeq.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c triar.f -o triar.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c trifnd.f -o trifnd.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o deldir.so acchk.o addpt.o adjchk.o binsrt.o circen.o cross.o crossutil.o delet.o delet1.o delout.o delseg.o dirout.o dirseg.o dldins.o init.o initad.o insrt.o insrt1.o intri.o locn.o master.o mnnd.o pred.o qtest.o qtest1.o stoke.o succ.o swap.o testeq.o triar.o trifnd.o -lgfortran -lm -lquadmath -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-deldir/00new/deldir/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (deldir) * installing *source* package ‘spatstat.utils’ ... ** package ‘spatstat.utils’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c circxseg.c -o circxseg.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c distseg.c -o distseg.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c fastinterv.c -o fastinterv.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.c -o init.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c inxyp.c -o inxyp.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c matchindices.c -o matchindices.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c matchpoints.c -o matchpoints.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c ply.c -o ply.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c primefax.c -o primefax.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c revcum.c -o revcum.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o spatstat.utils.so circxseg.o distseg.o fastinterv.o init.o inxyp.o matchindices.o matchpoints.o ply.o primefax.o revcum.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-spatstat.utils/00new/spatstat.utils/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (spatstat.utils) * installing *source* package ‘tensor’ ... ** package ‘tensor’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tensor) * installing *source* package ‘abind’ ... ** package ‘abind’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (abind) * installing *source* package ‘goftest’ ... ** package ‘goftest’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c ADinf.c -o ADinf.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c AnDarl.c -o AnDarl.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.c -o init.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o goftest.so ADinf.o AnDarl.o init.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-goftest/00new/goftest/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (goftest) * installing *source* package ‘parallelly’ ... ** package ‘parallelly’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (parallelly) * installing *source* package ‘listenv’ ... ** package ‘listenv’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (listenv) * installing *source* package ‘globals’ ... ** package ‘globals’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (globals) * installing *source* package ‘RcppEigen’ ... ** package ‘RcppEigen’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I../inst/include -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppEigen.cpp -o RcppEigen.o In file included from ../inst/include/Eigen/Core:397, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from RcppEigen.cpp:22: ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../inst/include/Eigen/Core:377, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from RcppEigen.cpp:22: ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:370, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from RcppEigen.cpp:22: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ../inst/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ ../inst/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from RcppEigen.cpp:22: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ../inst/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ ../inst/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:370, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from RcppEigen.cpp:22: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ../inst/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ ../inst/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from RcppEigen.cpp:22: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ../inst/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ ../inst/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/SparseCore:37, from ../inst/include/Eigen/Sparse:26, from ../inst/include/RcppEigenForward.h:31, from ../inst/include/RcppEigen.h:25, from RcppEigen.cpp:22: ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ../inst/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ../inst/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ../inst/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:370, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from RcppEigen.cpp:22: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from RcppEigen.cpp:22: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ../inst/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I../inst/include -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o In file included from ../inst/include/Eigen/Core:397, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from RcppExports.cpp:4: ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../inst/include/Eigen/Core:377, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from RcppExports.cpp:4: ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:370, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from RcppExports.cpp:4: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ../inst/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ ../inst/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from RcppExports.cpp:4: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ../inst/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ ../inst/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:370, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from RcppExports.cpp:4: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ../inst/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ ../inst/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from RcppExports.cpp:4: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ../inst/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ ../inst/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/SparseCore:37, from ../inst/include/Eigen/Sparse:26, from ../inst/include/RcppEigenForward.h:31, from ../inst/include/RcppEigen.h:25, from RcppExports.cpp:4: ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ../inst/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ../inst/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ../inst/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:370, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from RcppExports.cpp:4: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from RcppExports.cpp:4: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ../inst/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I../inst/include -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c fastLm.cpp -o fastLm.o In file included from ../inst/include/Eigen/Core:397, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../inst/include/Eigen/Core:377, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:370, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ../inst/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ ../inst/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ../inst/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ ../inst/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:370, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ../inst/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ ../inst/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ../inst/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ ../inst/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/SparseCore:37, from ../inst/include/Eigen/Sparse:26, from ../inst/include/RcppEigenForward.h:31, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ../inst/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ../inst/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ../inst/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:370, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ../inst/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:370, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ fastLm.h:45:21: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ fastLm.h:45:21: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:68:124: required from ‘class Eigen::ColPivHouseholderQR >’ fastLm.h:48:42: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:438:19: required from ‘class Eigen::ColPivHouseholderQR >’ fastLm.h:48:42: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ fastLm.h:53:16: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ fastLm.h:54:16: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ fastLm.h:67:65: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ fastLm.cpp:47:29: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ fastLm.cpp:60:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >’ fastLm.cpp:64:24: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ fastLm.cpp:70:28: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ fastLm.cpp:92:28: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>’ fastLm.cpp:93:23: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ fastLm.cpp:94:48: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::Matrix, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix >’ fastLm.cpp:95:32: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1> >’ ../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1>’ fastLm.cpp:95:54: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::PartialReduxExpr, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1>, 2>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::PartialReduxExpr, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1>, 2> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::PartialReduxExpr, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1>, 2> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::PartialReduxExpr, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1>, 2, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::PartialReduxExpr, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1>, 2, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::PartialReduxExpr, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1>, 2>’ fastLm.cpp:95:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ fastLm.cpp:100:13: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ fastLm.cpp:102:13: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 0>’ fastLm.cpp:102:61: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ fastLm.cpp:103:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_norm, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_norm, 1> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_norm, 1> >’ ../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>’ fastLm.cpp:108:57: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ fastLm.cpp:114:39: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ fastLm.cpp:123:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >’ ../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ fastLm.cpp:123:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ fastLm.cpp:125:40: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, Eigen::internal::member_norm, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, Eigen::internal::member_norm, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, Eigen::internal::member_norm, 0> >’ ../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, 1>, Eigen::Matrix >, Eigen::internal::member_norm, 0>’ fastLm.cpp:125:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ fastLm.cpp:130:18: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >’ ../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ fastLm.cpp:135:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ fastLm.cpp:137:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >’ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>’ fastLm.cpp:137:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> > >’ ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1>, Eigen::Matrix >, 0> > >’ ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> >’ fastLm.cpp:137:54: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > > >’ ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > > >’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >’ fastLm.cpp:137:61: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ fastLm.cpp:159:25: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ../inst/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >’ fastLm.cpp:159:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper > >, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper > >, 1> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper > >, 1> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper > >, 1, 8>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper > >, 1>’ fastLm.cpp:159:59: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ fastLm.cpp:160:32: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ fastLm.cpp:160:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ fastLm.cpp:168:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper > >, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper > >, 1> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper > >, 1> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper > >, 1, 8>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper > >, 1>’ fastLm.cpp:168:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21: required from ‘class Eigen::Tridiagonalization >’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ fastLm.cpp:176:39: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ fastLm.cpp:178:47: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Array > > >’ ../inst/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Array > >’ fastLm.cpp:178:56: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, 8>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>’ fastLm.cpp:178:70: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ fastLm.cpp:179:51: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ fastLm.cpp:179:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ fastLm.cpp:226:49: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ fastLm.cpp:231:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ fastLm.cpp:231:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Core/util/XprHelper.h:510:38: required from ‘struct Eigen::internal::cast_return_type, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >::CastXpr’ ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >::CastXpr::Type Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:359:117: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ../inst/include/Eigen/src/Core/util/XprHelper.h:510:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::MatrixBase >::CastXpr’ ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::MatrixBase >::CastXpr::Type Eigen::MatrixBase >::cast() const [with NewType = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:359:117: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:107:59: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ fastLm.cpp:69:35: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:370, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:86: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:86: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ../inst/include/Eigen/src/Cholesky/LLT.h:441:33: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LLT.h:100:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:122:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ ../inst/include/Eigen/src/Cholesky/LLT.h:441:43: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LLT.h:100:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:122:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ../inst/include/Eigen/src/Cholesky/LLT.h:441:91: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LLT.h:100:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:122:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ ../inst/include/Eigen/src/Cholesky/LLT.h:441:101: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LLT.h:100:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:122:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:34: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ fastLm.cpp:176:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ fastLm.cpp:229:44: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:496, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Eigen::SelfAdjointView::Scalar = double]’ fastLm.cpp:70:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 391 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 392 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 393 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:519:73: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:547:27: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:332:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:82: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:55: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ../inst/include/Eigen/src/Cholesky/LDLT.h:319:19: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0>, -1, 1, false>’ ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0>, -1>’ ../inst/include/Eigen/src/Cholesky/LDLT.h:319:26: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ ../inst/include/Eigen/src/Cholesky/LDLT.h:319:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ../inst/include/Eigen/src/Cholesky/LDLT.h:346:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ../inst/include/Eigen/src/Cholesky/LDLT.h:352:80: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ ../inst/include/Eigen/src/Cholesky/LDLT.h:352:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ ../inst/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Cholesky/LDLT.h:353:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Cholesky/LDLT.h:355:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Cholesky/LDLT.h:373:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ../inst/include/Eigen/src/Cholesky/LDLT.h:381:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:683:29: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:548:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:799:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ fastLm.cpp:166:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:683:29: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:548:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:799:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ fastLm.cpp:166:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:689:60: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:548:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:799:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ fastLm.cpp:166:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 0> >’ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, const Eigen::Matrix >, 0>’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:697:61: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:548:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:799:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ fastLm.cpp:166:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:757:62: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:548:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:799:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ fastLm.cpp:166:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:438:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ fastLm.cpp:62:25: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:496, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Eigen::SelfAdjointView::Scalar = double]’ fastLm.cpp:70:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’: ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Eigen::SelfAdjointView::Scalar = double]’ fastLm.cpp:70:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1847 | PacketBlock kernel; | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = double]’: ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Eigen::SelfAdjointView::Scalar = double]’ fastLm.cpp:70:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1537 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1595 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:370, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; Eigen::internal::tribb_kernel::ResScalar = double]’ ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Eigen::SelfAdjointView::Scalar = double]’ fastLm.cpp:70:16: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; Eigen::internal::tribb_kernel::ResScalar = double]’ ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Eigen::SelfAdjointView::Scalar = double]’ fastLm.cpp:70:16: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>’ ../inst/include/Eigen/src/Householder/Householder.h:44:80: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:538:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/include/Eigen/src/Householder/Householder.h:124:63: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, -1, false>’ ../inst/include/Eigen/src/Householder/Householder.h:125:82: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Householder/Householder.h:126:38: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ ../inst/include/Eigen/src/Householder/Householder.h:126:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, 1, -1, false>’ ../inst/include/Eigen/src/Householder/Householder.h:127:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Householder/Householder.h:128:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Householder/Householder.h:128:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ ../inst/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:83:75: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ ../inst/include/Eigen/src/Core/TriangularMatrix.h:174:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/TriangularMatrix.h:186:58: required from ‘class Eigen::TriangularView, -1, -1, false> >, 6>’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:93: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:94:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ../inst/include/Eigen/src/Core/TriangularMatrix.h:174:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/TriangularMatrix.h:186:58: required from ‘class Eigen::TriangularView >, 1>’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:95:63: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:95:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:22: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/include/Eigen/src/Householder/Householder.h:124:63: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>, -1, 1, false>’ ../inst/include/Eigen/src/Householder/Householder.h:125:82: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ ../inst/include/Eigen/src/Householder/Householder.h:126:38: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0> >’ ../inst/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0, 6>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Householder/Householder.h:126:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, 1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, 1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>, 1, 1, false>’ ../inst/include/Eigen/src/Householder/Householder.h:127:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Householder/Householder.h:128:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Householder/Householder.h:128:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ ../inst/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ ../inst/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Cholesky/LLT.h:441:74: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LLT.h:100:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:122:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Cholesky/LLT.h:441:125: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LLT.h:100:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:122:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/include/Eigen/src/Core/BooleanRedux.h:86:46: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:373:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/include/Eigen/src/Core/BooleanRedux.h:86:46: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:373:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/include/Eigen/src/Core/BooleanRedux.h:86:46: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:381:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ ../inst/include/Eigen/src/Core/TriangularMatrix.h:174:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/TriangularMatrix.h:186:58: required from ‘class Eigen::TriangularView, -1, -1, false> >, 1>’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:121: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:684:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:548:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:799:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ fastLm.cpp:166:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/Eigen/src/misc/RealSvd2x2.h:25:26: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:722:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:548:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:799:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ fastLm.cpp:166:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:40: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ fastLm.cpp:176:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ ../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:505:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ../inst/include/Eigen/src/Core/Visitor.h:71:51: required from ‘class Eigen::internal::visitor_evaluator, 1, -1, false> >’ ../inst/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false> >; Derived = Eigen::Block, 1, -1, false>]’ ../inst/include/Eigen/src/Core/Visitor.h:266:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:519:90: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/Householder.h:74:64: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ ../inst/include/Eigen/src/Householder/Householder.h:45:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:538:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Householder/Householder.h:91:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ ../inst/include/Eigen/src/Householder/Householder.h:45:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:538:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:565:77: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:20: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:28: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:70: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:78: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:90: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:64:84: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:64:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:67:90: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:67:61: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:280:12: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:280:20: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:94:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:95:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:22: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ ../inst/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LLT.h:100:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:122:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LLT.h:100:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:122:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ ../inst/include/Eigen/src/Cholesky/LLT.h:325:58: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LLT.h:100:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:122:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ ../inst/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LLT.h:100:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:122:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:829:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, 1>, Eigen::Matrix >, Eigen::internal::member_norm, 0>; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, 1>, Eigen::Matrix >, Eigen::internal::member_norm, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, 1>, Eigen::Matrix >, Eigen::internal::member_norm, 0>]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 1>, Eigen::Matrix >, Eigen::internal::member_norm, 0>; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 1>, Eigen::Matrix >, Eigen::internal::member_norm, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:125:63: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/Visitor.h:71:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]’ ../inst/include/Eigen/src/Core/Visitor.h:266:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:319:54: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:131:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Product.h:170:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Option = 0; Eigen::ProductImpl::Scalar = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Core/DenseBase.h:484:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Eigen::DenseBase::CoeffReturnType = double]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:353:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Jacobi/Jacobi.h:279:10: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ ../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:722:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:548:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:799:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ fastLm.cpp:166:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:370, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, 1, 2, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Jacobi/Jacobi.h:279:10: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ ../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:722:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:548:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:799:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ fastLm.cpp:166:38: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ../inst/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, -1, false>; VectorY = Eigen::Block, 1, -1, false>; OtherScalar = double]’ ../inst/include/Eigen/src/Jacobi/Jacobi.h:281:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:725:40: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:548:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:799:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ fastLm.cpp:166:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ../inst/include/Eigen/src/Core/Visitor.h:71:51: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ ../inst/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]’ ../inst/include/Eigen/src/Core/Visitor.h:266:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:769:88: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:548:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:799:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ fastLm.cpp:166:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ fastLm.cpp:176:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Jacobi/Jacobi.h:294:10: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ fastLm.cpp:176:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; Eigen::internal::tribb_kernel::ResScalar = double]’ ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Eigen::SelfAdjointView::Scalar = double]’ fastLm.cpp:70:16: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Householder/Householder.h:76:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ ../inst/include/Eigen/src/Householder/Householder.h:45:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:538:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:280:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:285:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:285:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:285:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:285:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:285:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:285:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Cholesky/LLT.h:441:125: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LLT.h:100:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:122:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ ../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Cholesky/LLT.h:321:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LLT.h:100:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:122:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Cholesky/LLT.h:321:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LLT.h:100:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:122:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ../inst/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:355:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:256:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:233:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:684:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:548:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:799:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ fastLm.cpp:166:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Householder/Householder.h:165:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:256:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:233:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:684:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:548:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:799:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ fastLm.cpp:166:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:256:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:233:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:684:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:548:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:799:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ fastLm.cpp:166:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:259:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:233:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:684:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:548:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:799:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ fastLm.cpp:166:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:259:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:233:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:684:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:548:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:799:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ fastLm.cpp:166:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: ../inst/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, 2, false>; VectorY = Eigen::Block, 1, 2, false>; OtherScalar = double]’ ../inst/include/Eigen/src/Jacobi/Jacobi.h:281:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ ../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:722:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:548:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:799:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ fastLm.cpp:166:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:438:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ fastLm.cpp:176:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: ../inst/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ ../inst/include/Eigen/src/Jacobi/Jacobi.h:296:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ fastLm.cpp:176:69: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ fastLm.cpp:229:44: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:438:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:509:85: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: ../inst/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:92:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:141:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:280:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Householder/Householder.h:91:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:280:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2>’ ../inst/include/Eigen/src/Cholesky/LDLT.h:565:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:135:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ ../inst/include/Eigen/src/Cholesky/LDLT.h:595:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:135:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:86: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ fastLm.cpp:176:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ fastLm.cpp:176:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ fastLm.cpp:176:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ fastLm.cpp:176:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ fastLm.cpp:176:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/Householder.h:76:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ ../inst/include/Eigen/src/Householder/Householder.h:45:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:538:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::PartialReduxExpr, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1>, 2>; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::PartialReduxExpr, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1>, 2>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::PartialReduxExpr, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1>, 2>]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::PartialReduxExpr, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1>, 2>; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::PartialReduxExpr, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1>, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:95:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>, -1, 1, false>]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:411:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/Householder.h:129:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Householder/Householder.h:76:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:280:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:141:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = const double&; Eigen::Index = long int]’ ../inst/include/Eigen/src/Householder/Householder.h:77:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ ../inst/include/Eigen/src/Householder/Householder.h:45:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:280:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:141:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = const double&; Eigen::Index = long int]’ ../inst/include/Eigen/src/Householder/Householder.h:77:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ ../inst/include/Eigen/src/Householder/Householder.h:45:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:280:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Cholesky/LLT.h:441:74: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LLT.h:100:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:122:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:321:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LLT.h:100:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:122:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Product.h:170:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Option = 0; Eigen::ProductImpl::Scalar = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Core/DenseBase.h:484:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Eigen::DenseBase::CoeffReturnType = double]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:353:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Eigen::DenseBase::Scalar = double]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:586:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:135:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:505:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/Householder.h:129:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:565:77: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, 1, 1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::add_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = Eigen::internal::add_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, false>, 1, 1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/include/Eigen/src/Householder/Householder.h:127:9: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>]’ ../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Derived = Eigen::Block, -1, 1, false>]’ fastLm.cpp:108:58: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>]’ ../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Derived = Eigen::Block, -1, 1, false>]’ fastLm.cpp:108:58: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >’: ../inst/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/NoAlias.h:42:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:285:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ../inst/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/NoAlias.h:42:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:256:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:233:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:684:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:548:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:799:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ fastLm.cpp:166:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Householder/Householder.h:76:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ ../inst/include/Eigen/src/Householder/Householder.h:45:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:538:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase::Scalar = double]’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:92:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:280:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, -1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, 1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ ../inst/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LLT.h:100:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:122:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:499, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: ../inst/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:355:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:355:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Core/GeneralProduct.h:287:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:355:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:689:18: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:548:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/SVD/JacobiSVD.h:799:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ fastLm.cpp:166:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/Householder.h:91:15: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ ../inst/include/Eigen/src/Householder/Householder.h:45:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:538:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ ../inst/include/Eigen/src/Core/GeneralProduct.h:197:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/GeneralProduct.h:197:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:92:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:92:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:92:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ ../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:92:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:499, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ ../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Side = 1; int Mode = 2]’ ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, 1, false>; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ ../inst/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:607:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:92:30: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:496, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: ../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ ../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]’ ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ ../inst/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ ../inst/include/Eigen/src/Core/TriangularMatrix.h:539:25: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ ../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, -1, -1, false>, 2>; RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:818:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; OtherDerived = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ fastLm.cpp:100:43: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:797:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:67:33: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:797:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:67:33: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ ../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::add_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:285:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:285:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, -1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true>, -1, -1, false> >’ ../inst/include/Eigen/src/Core/TriangularMatrix.h:174:44: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, true>, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:96: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, true>, -1, -1, false>, 5>, Eigen::Matrix, 0>’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Householder/Householder.h:126:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0> >’ ../inst/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0, 6>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, -1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ ../inst/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:499, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: ../inst/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:355:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:135:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:499, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ ../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ ../inst/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:592:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:135:46: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:135:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:135:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:135:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:135:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ ../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:135:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ fastLm.cpp:176:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:86: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ fastLm.cpp:176:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:499, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ ../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Side = 1; int Mode = 2]’ ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, 1, false>; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ ../inst/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:607:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:92:30: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:751:113: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:370, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:370, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>, -1, 1, false>]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ ../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:110:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>]’ ../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Derived = Eigen::Block, -1, 1, false>]’ fastLm.cpp:108:58: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ ../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:110:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>]’ ../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Derived = Eigen::Block, -1, 1, false>]’ fastLm.cpp:108:58: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Householder/Householder.h:76:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:280:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ ../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, -1, false>, -1, 1, true, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, true>, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1, 1, false>, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, -1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false>, -1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, -1, false>, -1, -1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, true>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, true>, -1, -1, false>, -1, -1, false>, 5>, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, true>, -1, -1, false>, -1, -1, false>, 5>, 0> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, true>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, true>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, true>, -1, -1, false>, -1, -1, false>, 5>, 0>’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:371, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55: required from ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’ ../inst/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:355:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ fastLm.cpp:129:50: required from here ../inst/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Eigen::DenseBase::Scalar = double]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:586:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:135:46: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:499, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ ../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ ../inst/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ ../inst/include/Eigen/src/Cholesky/LDLT.h:592:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:135:46: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ fastLm.cpp:176:69: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ ../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:280:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ ../inst/include/Eigen/src/Core/GeneralProduct.h:197:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:285:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/GeneralProduct.h:197:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:285:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:135:46: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:135:46: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:503, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:772:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ fastLm.cpp:176:69: required from here ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 60 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 61 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:179:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ ../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::PartialReduxExpr, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1>, 2>; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::PartialReduxExpr, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1>, 2>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::PartialReduxExpr, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1>, 2>]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::PartialReduxExpr, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1>, 2>; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::PartialReduxExpr, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::internal::member_norm, 1>, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:95:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:499, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 1>’: ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:145:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:751:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:154:113: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:751:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Eigen::DenseBase::Scalar = double]’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true> > >’ ../inst/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >’ ../inst/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>]’ ../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Derived = Eigen::Block, -1, 1, false>]’ fastLm.cpp:108:58: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>]’ ../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Derived = Eigen::Block, -1, 1, false>]’ fastLm.cpp:108:58: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ ../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:141:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>, -1, 1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>, -1, 1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, true>, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1, 1, false>, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, true>, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1, 1, false>, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, true>; CoeffsType = Eigen::VectorBlock, -1>; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/Householder.h:129:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:88:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:499, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 1; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:145:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:751:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:154:113: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:751:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’ ../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false, false>’ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false>’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:589:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/Householder.h:129:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:589:37: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/Householder.h:129:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/Householder.h:129:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/Householder.h:129:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false> > >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false> > >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, -1, 1, false> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>, -1, 1, false>]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:411:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ ../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:135:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:92:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:92:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/VectorwiseOp.h:100:1: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>]’ ../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_norm, 1>; Derived = Eigen::Block, -1, 1, false>]’ fastLm.cpp:108:58: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:67:33: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:67:33: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, true>, 1, -1, false> >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:67:33: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:94:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:94:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:95:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:95:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/Householder.h:129:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ ../inst/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ ../inst/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Eigen/src/Householder/Householder.h:129:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:285:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ ../inst/include/Eigen/src/Cholesky/LDLT.h:565:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:137:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ ../inst/include/Eigen/src/Cholesky/LDLT.h:595:38: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:137:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Eigen::internal::redux_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:67:33: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, false> >, -1, 1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:67:33: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:282:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; Dest = Eigen::Transpose >; int Mode = 1; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:67:33: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, -1, true>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, -1, -1, true> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, -1, -1, true> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false>, -1, -1, true>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, -1, false>, -1, -1, true, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false>, -1, -1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false>, -1, -1, true> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false>, -1, -1, true> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false>, -1, -1, true> >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, true>, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<> >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:48:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:67:33: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:67:33: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:499, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 1>’: ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:74:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:266:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; Dest = Eigen::Transpose >; int Mode = 1; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; Lhs = Eigen::Block, 1, -1, true>, 1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:751:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, true>, 1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 2>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, true>, 1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 2>; Derived = Eigen::internal::generic_product_impl, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:67:33: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/include/Eigen/src/QR/HouseholderQR.h:103:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ fastLm.cpp:113:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, -1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, -1, false> >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, true>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:751:113: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>, -1, 1, false>]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0>]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:160:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ ../inst/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ ../inst/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:179:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:499, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 1; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:74:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:266:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; Dest = Eigen::Transpose >; int Mode = 1; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; Lhs = Eigen::Block, 1, -1, true>, 1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:751:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, true>, 1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 2>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, true>, 1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 2>; Derived = Eigen::internal::generic_product_impl, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:67:33: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false> >, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false> >, -1, -1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false> >, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false> >, -1, -1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false> >, -1, -1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, -1, false> >, -1, -1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false> >, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false> >, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false> >, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false> >, -1, -1, false> >’ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, true>, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::swap_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = Eigen::internal::swap_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:1088:51: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:135:46: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:179:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:94:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:95:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false> >’ ../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false, false>’ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false>’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:589:22: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false> >’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:589:37: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:67:33: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Derived = Eigen::Block >, -1, 1, false>]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:282:27: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:67:33: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, -1, -1, true> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, -1, -1, true> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false>, -1, -1, true> > >’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, -1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, -1, -1, true> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false>, -1, -1, true> > >’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::add_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:66:28: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:67:33: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ fastLm.cpp:101:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false> >, -1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false> >, -1, -1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false> >, -1, -1, false> > >’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:114:41: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:439, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ../inst/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:160:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:160:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:160:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:179:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Transpose >, 0>; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:179:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:445, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:30, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:160:36: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ ../inst/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Eigen/src/Core/Redux.h:453:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ ../inst/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ ../inst/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ fastLm.cpp:179:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.c -o init.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o RcppEigen.so RcppEigen.o RcppExports.o fastLm.o init.o -llapack -lblas -lgfortran -lm -lquadmath -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-RcppEigen/00new/RcppEigen/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppEigen) * installing *source* package ‘progressr’ ... ** package ‘progressr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (progressr) * installing *source* package ‘sp’ ... ** package ‘sp’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c Rcentroid.c -o Rcentroid.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c gcdist.c -o gcdist.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.c -o init.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c pip.c -o pip.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c pip2.c -o pip2.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c sp_xports.c -o sp_xports.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c surfaceArea.c -o surfaceArea.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c zerodist.c -o zerodist.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o sp.so Rcentroid.o gcdist.o init.o pip.o pip2.o sp_xports.o surfaceArea.o zerodist.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-sp/00new/sp/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sp) * installing *source* package ‘RcppArmadillo’ ... ** package ‘RcppArmadillo’ successfully unpacked and MD5 sums checked ** using staged installation checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C++... yes checking whether g++ -std=gnu++17 accepts -g... yes checking for g++ -std=gnu++17 option to enable C++11 features... none needed checking how to run the C++ preprocessor... g++ -std=gnu++17 -E checking whether the compiler supports GNU C++... (cached) yes checking whether g++ -std=gnu++17 accepts -g... (cached) yes checking for g++ -std=gnu++17 option to enable C++11 features... (cached) none needed checking whether we have a suitable tempdir... /tmp checking whether R CMD SHLIB can already compile programs using OpenMP... yes checking LAPACK_LIBS... system LAPACK found configure: creating ./config.status config.status: creating inst/include/RcppArmadillo/config/RcppArmadilloConfigGenerated.h config.status: creating src/Makevars ** libs using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fopenmp -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppArmadillo.cpp -o RcppArmadillo.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fopenmp -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fopenmp -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c fastLm.cpp -o fastLm.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o RcppArmadillo.so RcppArmadillo.o RcppExports.o fastLm.o -fopenmp -llapack -lblas -lgfortran -lm -lquadmath -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-RcppArmadillo/00new/RcppArmadillo/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppArmadillo) * installing *source* package ‘matrixStats’ ... ** package ‘matrixStats’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c 000.init.c -o 000.init.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c allocMatrix2.c -o allocMatrix2.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c anyMissing.c -o anyMissing.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c binCounts.c -o binCounts.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c binMeans.c -o binMeans.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c colCounts.c -o colCounts.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c colOrderStats.c -o colOrderStats.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c colRanges.c -o colRanges.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c diff2.c -o diff2.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c indexByRow.c -o indexByRow.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c logSumExp.c -o logSumExp.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c mean2.c -o mean2.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c naming.c -o naming.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c productExpSumLog.c -o productExpSumLog.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c psortKM.c -o psortKM.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rowCounts.c -o rowCounts.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rowCummaxs.c -o rowCummaxs.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rowCummins.c -o rowCummins.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rowCumprods.c -o rowCumprods.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rowCumsums.c -o rowCumsums.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rowDiffs.c -o rowDiffs.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rowLogSumExp.c -o rowLogSumExp.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rowMads.c -o rowMads.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rowMeans2.c -o rowMeans2.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rowMedians.c -o rowMedians.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rowOrderStats.c -o rowOrderStats.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rowRanges.c -o rowRanges.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rowRanksWithTies.c -o rowRanksWithTies.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rowSums2.c -o rowSums2.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rowVars.c -o rowVars.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c signTabulate.c -o signTabulate.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c sum2.c -o sum2.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c validateIndices.c -o validateIndices.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c weightedMean.c -o weightedMean.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c weightedMedian.c -o weightedMedian.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c x_OP_y.c -o x_OP_y.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o matrixStats.so 000.init.o allocMatrix2.o anyMissing.o binCounts.o binMeans.o colCounts.o colOrderStats.o colRanges.o diff2.o indexByRow.o logSumExp.o mean2.o naming.o productExpSumLog.o psortKM.o rowCounts.o rowCummaxs.o rowCummins.o rowCumprods.o rowCumsums.o rowDiffs.o rowLogSumExp.o rowMads.o rowMeans2.o rowMedians.o rowOrderStats.o rowRanges.o rowRanksWithTies.o rowSums2.o rowVars.o signTabulate.o sum2.o validateIndices.o weightedMean.o weightedMedian.o x_OP_y.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-matrixStats/00new/matrixStats/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (matrixStats) * installing *source* package ‘gridExtra’ ... ** package ‘gridExtra’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gridExtra) * installing *source* package ‘reshape2’ ... ** package ‘reshape2’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c melt.cpp -o melt.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o reshape2.so RcppExports.o melt.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-reshape2/00new/reshape2/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (reshape2) * installing *source* package ‘here’ ... ** package ‘here’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (here) * installing *source* package ‘RcppTOML’ ... ** package ‘RcppTOML’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++17 g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include -DTOML_ENABLE_FLOAT16=0 -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include -DTOML_ENABLE_FLOAT16=0 -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c parse.cpp -o parse.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o RcppTOML.so RcppExports.o parse.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-RcppTOML/00new/RcppTOML/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppTOML) * installing *source* package ‘zoo’ ... ** package ‘zoo’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -I../inst/include -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c coredata.c -o coredata.o gcc -I"/usr/share/R/include" -DNDEBUG -I../inst/include -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.c -o init.o gcc -I"/usr/share/R/include" -DNDEBUG -I../inst/include -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c lag.c -o lag.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o zoo.so coredata.o init.o lag.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-zoo/00new/zoo/libs ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (zoo) * installing *source* package ‘selectr’ ... ** package ‘selectr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (selectr) * installing *source* package ‘rematch’ ... ** package ‘rematch’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rematch) * installing *source* package ‘systemfonts’ ... ** package ‘systemfonts’ successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/usr/local/include/freetype2 -I/usr/include/uuid -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include Using PKG_LIBS=-L/usr/local/lib -lfontconfig -lfreetype ** libs using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ rm -f systemfonts.so caches.o cpp11.o dev_metrics.o font_matching.o font_registry.o ft_cache.o string_shape.o font_metrics.o font_fallback.o string_metrics.o emoji.o cache_store.o init.o unix/FontManagerLinux.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/uuid -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c caches.cpp -o caches.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/uuid -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c cpp11.cpp -o cpp11.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/uuid -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c dev_metrics.cpp -o dev_metrics.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/uuid -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c font_matching.cpp -o font_matching.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/uuid -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c font_registry.cpp -o font_registry.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/uuid -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c ft_cache.cpp -o ft_cache.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/uuid -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c string_shape.cpp -o string_shape.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/uuid -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c font_metrics.cpp -o font_metrics.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/uuid -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c font_fallback.cpp -o font_fallback.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/uuid -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c string_metrics.cpp -o string_metrics.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/uuid -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c emoji.cpp -o emoji.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/uuid -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c cache_store.cpp -o cache_store.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/uuid -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.cpp -o init.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/uuid -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c unix/FontManagerLinux.cpp -o unix/FontManagerLinux.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o systemfonts.so caches.o cpp11.o dev_metrics.o font_matching.o font_registry.o ft_cache.o string_shape.o font_metrics.o font_fallback.o string_metrics.o emoji.o cache_store.o init.o unix/FontManagerLinux.o -L/usr/local/lib -lfontconfig -lfreetype -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-systemfonts/00new/systemfonts/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (systemfonts) * installing *source* package ‘GenomicRanges’ ... ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -I'/home/omnipath/local/R/4.3-3.17/IRanges/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c IRanges_stubs.c -o IRanges_stubs.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -I'/home/omnipath/local/R/4.3-3.17/IRanges/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c R_init_GenomicRanges.c -o R_init_GenomicRanges.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -I'/home/omnipath/local/R/4.3-3.17/IRanges/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c S4Vectors_stubs.c -o S4Vectors_stubs.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -I'/home/omnipath/local/R/4.3-3.17/IRanges/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c transcript_utils.c -o transcript_utils.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o GenomicRanges.so IRanges_stubs.o R_init_GenomicRanges.o S4Vectors_stubs.o transcript_utils.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-GenomicRanges/00new/GenomicRanges/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (GenomicRanges) * installing *source* package ‘R.methodsS3’ ... ** package ‘R.methodsS3’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (R.methodsS3) * installing *source* package ‘segmented’ ... ** package ‘segmented’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (segmented) * installing *source* package ‘plotly’ ... ** package ‘plotly’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (plotly) * installing *source* package ‘kernlab’ ... ** package ‘kernlab’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c brweight.cpp -o brweight.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c ctable.cpp -o ctable.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c cweight.cpp -o cweight.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c dbreakpt.c -o dbreakpt.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c dcauchy.c -o dcauchy.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c dgpnrm.c -o dgpnrm.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c dgpstep.c -o dgpstep.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c dprecond.c -o dprecond.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c dprsrch.c -o dprsrch.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c dspcg.c -o dspcg.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c dtron.c -o dtron.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c dtrpcg.c -o dtrpcg.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c dtrqsol.c -o dtrqsol.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c esa.cpp -o esa.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c expdecayweight.cpp -o expdecayweight.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c inductionsort.cpp -o inductionsort.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.c -o init.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c kspectrumweight.cpp -o kspectrumweight.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c lcp.cpp -o lcp.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c misc.c -o misc.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c msufsort.cpp -o msufsort.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c solvebqp.c -o solvebqp.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c stringk.c -o stringk.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c stringkernel.cpp -o stringkernel.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c svm.cpp -o svm.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c wkasailcp.cpp -o wkasailcp.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c wmsufsort.cpp -o wmsufsort.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o kernlab.so brweight.o ctable.o cweight.o dbreakpt.o dcauchy.o dgpnrm.o dgpstep.o dprecond.o dprsrch.o dspcg.o dtron.o dtrpcg.o dtrqsol.o esa.o expdecayweight.o inductionsort.o init.o kspectrumweight.o lcp.o misc.o msufsort.o solvebqp.o stringk.o stringkernel.o svm.o wkasailcp.o wmsufsort.o -llapack -lblas -lgfortran -lm -lquadmath -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-kernlab/00new/kernlab/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for ‘pattern’ in package ‘kernlab’ ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (kernlab) * installing *source* package ‘proxy’ ... ** package ‘proxy’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c apply.c -o apply.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c arrayIndex.c -o arrayIndex.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c distance.c -o distance.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c dll.c -o dll.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c util.c -o util.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o proxy.so apply.o arrayIndex.o distance.o dll.o util.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-proxy/00new/proxy/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (proxy) * installing *source* package ‘rsvd’ ... ** package ‘rsvd’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rsvd) * installing *source* package ‘Rhdf5lib’ ... ** using staged installation checking for gcc... gcc checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C... yes checking whether gcc accepts -g... yes checking for gcc option to enable C11 features... none needed checking whether the compiler supports GNU C++... yes checking whether g++ -std=gnu++17 accepts -g... yes checking for g++ -std=gnu++17 option to enable C++11 features... none needed COMPILER = gcc checking whether C compiler accepts -w... yes checking whether to use -Wl,-rpath setting... yes checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes 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int16_t... 2 checking size of uint16_t... 2 checking size of int_least16_t... 2 checking size of uint_least16_t... 2 checking size of int_fast16_t... 8 checking size of uint_fast16_t... 8 checking size of int32_t... 4 checking size of uint32_t... 4 checking size of int_least32_t... 4 checking size of uint_least32_t... 4 checking size of int_fast32_t... 8 checking size of uint_fast32_t... 8 checking size of int64_t... 8 checking size of uint64_t... 8 checking size of int_least64_t... 8 checking size of uint_least64_t... 8 checking size of int_fast64_t... 8 checking size of uint_fast64_t... 8 checking size of size_t... 8 checking size of ssize_t... 8 checking size of ptrdiff_t... 8 checking size of off_t... 8 checking size of bool... 1 checking size of time_t... 8 checking if dev_t is scalar... yes checking for dmalloc library... suppressed checking zlib.h usability... yes checking zlib.h presence... yes checking for zlib.h... yes checking for compress2 in -lz... yes checking for compress2... yes checking szlib.h usability... yes checking szlib.h presence... yes checking for szlib.h... yes checking libaec.h usability... yes checking libaec.h presence... yes checking for libaec.h... yes checking for aec_encode in -laec... yes checking for SZ_BufftoBuffCompress in -lsz... yes checking for szlib encoder... yes checking for thread safe support... no checking whether CLOCK_MONOTONIC is declared... yes checking for tm_gmtoff in struct tm... yes checking for global timezone variable... yes checking for st_blocks in struct stat... no checking for _getvideoconfig... no checking for gettextinfo... no checking for GetConsoleScreenBufferInfo... no checking for getpwuid... yes checking for _scrsize... no checking for ioctl... yes checking for struct videoconfig... no checking for struct text_info... no checking for TIOCGWINSZ... yes checking for TIOCGETD... yes checking for library containing clock_gettime... none required checking for alarm... yes checking for clock_gettime... yes checking for difftime... yes checking for fcntl... yes checking for flock... yes checking for fork... yes checking for frexpf... yes checking for frexpl... yes checking for gethostname... yes checking for getrusage... yes checking for gettimeofday... yes checking for lstat... yes checking for rand_r... yes checking for random... yes checking for setsysinfo... no checking for signal... yes checking for longjmp... yes checking for setjmp... yes checking for siglongjmp... yes checking for sigsetjmp... no checking for sigprocmask... yes checking for snprintf... yes checking for srandom... yes checking for strdup... yes checking for symlink... yes checking for system... yes checking for strtoll... yes checking for strtoull... yes checking for tmpfile... yes checking for asprintf... yes checking for vasprintf... yes checking for vsnprintf... yes checking for waitpid... yes checking for roundf... yes checking for lroundf... yes checking for llroundf... yes checking for round... yes checking for lround... yes checking for llround... yes checking for an ANSI C-conforming const... yes checking if the compiler understands __inline__... yes checking if the compiler understands __inline... yes checking if the compiler understands inline... yes checking for __attribute__ extension... yes checking for __func__ extension... yes checking for __FUNCTION__ extension... yes checking for C99 designated initialization support... yes checking how to print long long... %ld and %lu checking enable debugging symbols... no checking enable asserts... no checking enable developer warnings... no checking profiling... no checking optimization level... high checking enable file locking... best-effort checking for internal debug output... none checking whether function stack tracking is enabled... no checking for API tracing... no checking whether a memory checking tool will be used... no checking whether internal memory allocation sanity checking is used... no checking for parallel support files... skipped checking whether O_DIRECT is declared... yes checking for posix_memalign... yes checking if the direct I/O virtual file driver (VFD) is enabled... no checking if the Mirror virtual file driver (VFD) is enabled... no checking curl/curl.h usability... yes checking curl/curl.h presence... yes checking for curl/curl.h... yes checking openssl/evp.h usability... yes checking openssl/evp.h presence... yes checking for openssl/evp.h... yes checking openssl/hmac.h usability... yes checking openssl/hmac.h presence... yes checking for openssl/hmac.h... yes checking openssl/sha.h usability... yes checking openssl/sha.h presence... yes checking for openssl/sha.h... yes checking for curl_global_init in -lcurl... yes checking for EVP_sha256 in -lcrypto... yes checking if the Read-Only S3 virtual file driver (VFD) is enabled... yes checking for libhdfs... suppressed checking for custom examples path definition... ${prefix}/share/hdf5_examples checking for custom plugin default path definition... /usr/local/hdf5/lib/plugin checking whether exception handling functions is checked during data conversions... yes checking whether data accuracy is guaranteed during data conversions... yes checking if the machine has window style path name... no checking if using special algorithm to convert long double to (unsigned) long values... no checking if using special algorithm to convert (unsigned) long to long double values... no checking if correctly converting long double to (unsigned) long long values... yes checking if correctly converting (unsigned) long long to long double values... yes checking if the system is IBM ppc64le and cannot correctly convert some long double values... no checking additional programs should be built... no checking if deprecated public symbols are available... yes checking which version of public symbols to use by default... v110 checking whether to perform strict file format checks... no checking for pread... yes checking for pwrite... yes checking whether to use pread/pwrite instead of read/write in certain VFDs... yes checking whether to have library information embedded in the executables... yes checking if alignment restrictions are strictly enforced... no configure: creating ./config.lt config.lt: creating libtool checking that generated files are newer than configure... done configure: creating ./config.status config.status: creating src/libhdf5.settings config.status: creating Makefile config.status: creating src/Makefile config.status: creating utils/Makefile config.status: creating utils/mirror_vfd/Makefile config.status: creating bin/h5cc config.status: creating bin/Makefile config.status: creating c++/Makefile config.status: creating c++/src/Makefile config.status: creating c++/src/h5c++ config.status: creating hl/Makefile config.status: creating hl/src/Makefile config.status: creating hl/c++/Makefile config.status: creating hl/c++/src/Makefile config.status: creating src/H5config.h config.status: executing pubconf commands creating src/H5pubconf.h Post process src/libhdf5.settings config.status: executing depfiles commands config.status: executing libtool commands config.status: executing .classes commands SUMMARY OF THE HDF5 CONFIGURATION ================================= General Information: ------------------- HDF5 Version: 1.10.7 Configured on: Sat Oct 21 15:12:29 CEST 2023 Configured by: omnipath@saezlab Host system: x86_64-unknown-linux-gnu Uname information: Linux saezlab 6.0.0-1008-oem #8-Ubuntu SMP PREEMPT_DYNAMIC Wed Nov 16 17:31:27 UTC 2022 x86_64 x86_64 x86_64 GNU/Linux Byte sex: little-endian Installation point: /tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/hdf5 Compiling Options: ------------------ Build Mode: production Debugging Symbols: no Asserts: no Profiling: no Optimization Level: high Linking Options: ---------------- Libraries: static Statically Linked Executables: LDFLAGS: -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro H5_LDFLAGS: AM_LDFLAGS: Extra libraries: -lcrypto -lcurl -lsz -laec -lz -ldl -lm Archiver: ar AR_FLAGS: cr Ranlib: ranlib Languages: ---------- C: yes C Compiler: /usr/bin/gcc CPPFLAGS: H5_CPPFLAGS: -D_GNU_SOURCE -D_POSIX_C_SOURCE=200809L -DNDEBUG -UH5_DEBUG_API AM_CPPFLAGS: C Flags: -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -w -fpic H5 C Flags: -std=c99 -Wno-c++-compat -Wno-format-nonliteral -Wshadow -Wundef -Wwrite-strings -Wlarger-than=2560 -Wlogical-op -Wframe-larger-than=16384 -Wpacked-bitfield-compat -Wsync-nand -Wdouble-promotion -Wtrampolines -Wstack-usage=8192 -Wmaybe-uninitialized -Wdate-time -Warray-bounds=2 -Wc99-c11-compat -Wduplicated-cond -Whsa -Wnormalized -Wunused-const-variable -Walloca -Walloc-zero -Wduplicated-branches -Wimplicit-fallthrough=5 -Wrestrict -Wattribute-alias -Wshift-overflow=2 -Wattribute-alias=2 -Wmissing-profile -fstdarg-opt -s -Wno-aggregate-return -Wno-inline -Wno-missing-format-attribute -Wno-missing-noreturn -Wno-overlength-strings -Wno-jump-misses-init -Wno-suggest-attribute=const -Wno-suggest-attribute=noreturn -Wno-suggest-attribute=pure -Wno-suggest-attribute=format -Wno-suggest-attribute=cold -Wno-suggest-attribute=malloc -O3 -Werror=bad-function-cast -Werror=declaration-after-statement -Werror=implicit-function-declaration -Werror=missing-declarations -Werror=missing-prototypes -Werror=nested-externs -Werror=old-style-definition -Werror=packed -Werror=pointer-sign -Werror=pointer-to-int-cast -Werror=redundant-decls -Werror=strict-prototypes -Werror=switch -Wunused-function -Wformat -Werror=incompatible-pointer-types -Werror=shadow -Wcast-function-type -Wmaybe-uninitialized AM C Flags: Shared C Library: no Static C Library: yes Fortran: no C++: yes C++ Compiler: /usr/bin/g++ -std=gnu++17 C++ Flags: -w -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic H5 C++ Flags: -Wall -Wconversion -Wctor-dtor-privacy -Wextra -Wfloat-equal -Wformat=2 -Winit-self -Winvalid-pch -Wmissing-include-dirs -Wno-format-nonliteral -Wnon-virtual-dtor -Woverloaded-virtual -Wreorder -Wshadow -Wsign-promo -Wundef -Wwrite-strings -pedantic -Wlarger-than=2560 -Wlogical-op -Wframe-larger-than=16384 -Wpacked-bitfield-compat -Wsync-nand -Wdouble-promotion -Wtrampolines -Wstack-usage=8192 -Wmaybe-uninitialized -Wdate-time -Wopenmp-simd -Warray-bounds=2 -Wduplicated-cond -Whsa -Wnormalized -Wunused-const-variable -Walloca -Walloc-zero -Wduplicated-branches -Wimplicit-fallthrough=5 -Wrestrict -Wattribute-alias -Wshift-overflow=2 -Wattribute-alias=2 -Wmissing-profile -fstdarg-opt -s -O3 -Wcast-align -Wmissing-declarations -Werror=packed -Werror=redundant-decls -Werror=switch -Wunused-but-set-variable -Werror=unused-function -Werror=unused-variable -Wunused-parameter -Werror=shadow AM C++ Flags: Shared C++ Library: no Static C++ Library: yes Java: no Features: --------- Parallel HDF5: no Parallel Filtered Dataset Writes: no Large Parallel I/O: no High-level library: yes Build HDF5 Tests: no Build HDF5 Tools: no Threadsafety: no Default API mapping: v110 With deprecated public symbols: yes I/O filters (external): deflate(zlib),szip(encoder) MPE: no Direct VFD: no Mirror VFD: no (Read-Only) S3 VFD: yes (Read-Only) HDFS VFD: no dmalloc: no Packages w/ extra debug output: none API tracing: no Using memory checker: no Memory allocation sanity checks: no Function stack tracing: no Use file locking: best-effort Strict file format checks: no Optimization instrumentation: no make[1]: Entering directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5' for d in src . c++ hl; do \ if test $d != .; then \ (cd $d && make lib) || exit 1; \ fi; \ done make[2]: Entering directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/src' make[3]: Entering directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/src' CC H5.lo CC H5checksum.lo CC H5dbg.lo CC H5system.lo CC H5timer.lo CC H5trace.lo CC H5A.lo CC H5Abtree2.lo CC H5Adense.lo CC H5Adeprec.lo CC H5Aint.lo CC H5Atest.lo CC H5AC.lo CC H5ACdbg.lo CC H5ACproxy_entry.lo CC H5B.lo CC H5Bcache.lo CC H5Bdbg.lo CC H5B2.lo CC H5B2cache.lo CC H5B2dbg.lo CC H5B2hdr.lo CC H5B2int.lo CC H5B2internal.lo CC H5B2leaf.lo CC H5B2stat.lo CC H5B2test.lo CC H5C.lo CC H5Cdbg.lo CC H5Cepoch.lo CC H5Cimage.lo CC H5Clog.lo CC H5Clog_json.lo CC H5Clog_trace.lo CC H5Cprefetched.lo CC H5Cquery.lo CC H5Ctag.lo CC H5Ctest.lo CC H5CS.lo CC H5CX.lo CC H5D.lo CC H5Dbtree.lo CC H5Dbtree2.lo CC H5Dchunk.lo CC H5Dcompact.lo CC H5Dcontig.lo CC H5Ddbg.lo CC H5Ddeprec.lo CC H5Dearray.lo CC H5Defl.lo CC H5Dfarray.lo CC H5Dfill.lo CC H5Dint.lo CC H5Dio.lo CC H5Dlayout.lo CC H5Dnone.lo CC H5Doh.lo CC H5Dscatgath.lo CC H5Dselect.lo CC H5Dsingle.lo CC H5Dtest.lo CC H5Dvirtual.lo CC H5E.lo CC H5Edeprec.lo CC H5Eint.lo CC H5EA.lo CC H5EAcache.lo CC H5EAdbg.lo CC H5EAdblkpage.lo CC H5EAdblock.lo CC H5EAhdr.lo CC H5EAiblock.lo CC H5EAint.lo CC H5EAsblock.lo CC H5EAstat.lo CC H5EAtest.lo CC H5F.lo CC H5Faccum.lo CC H5Fcwfs.lo CC H5Fdbg.lo CC H5Fdeprec.lo CC H5Fefc.lo CC H5Ffake.lo CC H5Fint.lo CC H5Fio.lo CC H5Fmount.lo CC H5Fquery.lo CC H5Fsfile.lo CC H5Fspace.lo CC H5Fsuper.lo CC H5Fsuper_cache.lo CC H5Ftest.lo CC H5FA.lo CC H5FAcache.lo CC H5FAdbg.lo CC H5FAdblock.lo CC H5FAdblkpage.lo CC H5FAhdr.lo CC H5FAint.lo CC H5FAstat.lo CC H5FAtest.lo CC H5FD.lo CC H5FDcore.lo CC H5FDfamily.lo CC H5FDhdfs.lo CC H5FDint.lo CC H5FDlog.lo CC H5FDmulti.lo CC H5FDsec2.lo CC H5FDspace.lo CC H5FDsplitter.lo CC H5FDstdio.lo CC H5FDtest.lo CC H5FL.lo CC H5FO.lo CC H5FS.lo CC H5FScache.lo CC H5FSdbg.lo CC H5FSint.lo CC H5FSsection.lo CC H5FSstat.lo CC H5FStest.lo CC H5G.lo CC H5Gbtree2.lo CC H5Gcache.lo CC H5Gcompact.lo CC H5Gdense.lo CC H5Gdeprec.lo CC H5Gent.lo CC H5Gint.lo CC H5Glink.lo CC H5Gloc.lo CC H5Gname.lo CC H5Gnode.lo CC H5Gobj.lo CC H5Goh.lo CC H5Groot.lo CC H5Gstab.lo CC H5Gtest.lo CC H5Gtraverse.lo CC H5HF.lo CC H5HFbtree2.lo CC H5HFcache.lo CC H5HFdbg.lo CC H5HFdblock.lo CC H5HFdtable.lo CC H5HFhdr.lo CC H5HFhuge.lo CC H5HFiblock.lo CC H5HFiter.lo CC H5HFman.lo CC H5HFsection.lo CC H5HFspace.lo CC H5HFstat.lo CC H5HFtest.lo CC H5HFtiny.lo CC H5HG.lo CC H5HGcache.lo CC H5HGdbg.lo CC H5HGquery.lo CC H5HL.lo CC H5HLcache.lo CC H5HLdbg.lo CC H5HLint.lo CC H5HLprfx.lo CC H5HLdblk.lo CC H5HP.lo CC H5I.lo CC H5Itest.lo CC H5L.lo CC H5Lexternal.lo CC H5make_libsettings.o CCLD H5make_libsettings LD_LIBRARY_PATH="$LD_LIBRARY_PATH`echo -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro | \ sed -e 's/-L/:/g' -e 's/ //g'`" \ ./H5make_libsettings > H5lib_settings.c || \ (test $HDF5_Make_Ignore && echo "*** Error ignored") || \ (rm -f H5lib_settings.c ; exit 1) CC H5lib_settings.lo CC H5MF.lo CC H5MFaggr.lo CC H5MFdbg.lo CC H5MFsection.lo CC H5MM.lo CC H5MP.lo CC H5MPtest.lo CC H5O.lo CC H5Odeprec.lo CC H5Oainfo.lo CC H5Oalloc.lo CC H5Oattr.lo CC H5Oattribute.lo CC H5Obogus.lo CC H5Obtreek.lo CC H5Ocache.lo CC H5Ocache_image.lo CC H5Ochunk.lo CC H5Ocont.lo CC H5Ocopy.lo CC H5Odbg.lo CC H5Odrvinfo.lo CC H5Odtype.lo CC H5Oefl.lo CC H5Ofill.lo CC H5Oflush.lo CC H5Ofsinfo.lo CC H5Oginfo.lo CC H5Oint.lo CC H5Olayout.lo CC H5Olinfo.lo CC H5Olink.lo CC H5Omessage.lo CC H5Omtime.lo CC H5Oname.lo CC H5Onull.lo CC H5Opline.lo CC H5Orefcount.lo CC H5Osdspace.lo CC H5Oshared.lo CC H5Oshmesg.lo CC H5Ostab.lo CC H5Otest.lo CC H5Ounknown.lo CC H5P.lo CC H5Pacpl.lo CC H5Pdapl.lo CC H5Pdcpl.lo CC H5Pdeprec.lo CC H5Pdxpl.lo CC H5Pencdec.lo CC H5Pfapl.lo CC H5Pfcpl.lo CC H5Pfmpl.lo CC H5Pgcpl.lo CC H5Pint.lo CC H5Plapl.lo CC H5Plcpl.lo CC H5Pocpl.lo CC H5Pocpypl.lo CC H5Pstrcpl.lo CC H5Ptest.lo CC H5PB.lo CC H5PL.lo CC H5PLint.lo CC H5PLpath.lo CC H5PLplugin_cache.lo CC H5R.lo CC H5Rint.lo CC H5Rdeprec.lo CC H5UC.lo CC H5RS.lo CC H5S.lo CC H5Sall.lo CC H5Sdbg.lo CC H5Shyper.lo CC H5Snone.lo CC H5Spoint.lo CC H5Sselect.lo CC H5Stest.lo CC H5SL.lo CC H5SM.lo CC H5SMbtree2.lo CC H5SMcache.lo CC H5SMmessage.lo CC H5SMtest.lo CC H5ST.lo CC H5T.lo CC H5Tarray.lo CC H5Tbit.lo CC H5Tcommit.lo CC H5Tcompound.lo CC H5Tconv.lo CC H5Tcset.lo CC H5Tdbg.lo CC H5Tdeprec.lo CC H5Tenum.lo CC H5Tfields.lo CC H5Tfixed.lo CC H5Tfloat.lo CC H5detect.o CCLD H5detect LD_LIBRARY_PATH="$LD_LIBRARY_PATH`echo -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro | \ sed -e 's/-L/:/g' -e 's/ //g'`" \ ./H5detect > H5Tinit.c || \ (test $HDF5_Make_Ignore && echo "*** Error ignored") || \ (rm -f H5Tinit.c ; exit 1) CC H5Tinit.lo CC H5Tnative.lo CC H5Toffset.lo CC H5Toh.lo CC H5Topaque.lo CC H5Torder.lo CC H5Tpad.lo CC H5Tprecis.lo CC H5Tstrpad.lo CC H5Tvisit.lo CC H5Tvlen.lo CC H5TS.lo CC H5VM.lo CC H5WB.lo CC H5Z.lo CC H5Zdeflate.lo CC H5Zfletcher32.lo CC H5Znbit.lo CC H5Zshuffle.lo CC H5Zscaleoffset.lo CC H5Zszip.lo CC H5Ztrans.lo CC H5FDros3.lo CC H5FDs3comms.lo CCLD libhdf5.la make[3]: Leaving directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/src' make[2]: Leaving directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/src' make[2]: Entering directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/c++' make[3]: Entering directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/c++' make[3]: Nothing to be done for 'build-lib'. make[3]: Leaving directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/c++' + cd src + make lib make[3]: Entering directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/c++/src' make[4]: Entering directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/c++/src' CXX H5Exception.lo CXX H5IdComponent.lo CXX H5DataSpace.lo CXX H5PropList.lo CXX H5Library.lo CXX H5FaccProp.lo CXX H5FcreatProp.lo CXX H5LcreatProp.lo CXX H5LaccProp.lo CXX H5DaccProp.lo CXX H5DxferProp.lo CXX H5DcreatProp.lo CXX H5Location.lo CXX H5AbstractDs.lo CXX H5Attribute.lo CXX H5Object.lo CXX H5OcreatProp.lo CXX H5DataType.lo CXX H5AtomType.lo CXX H5PredType.lo CXX H5EnumType.lo CXX H5IntType.lo CXX H5FloatType.lo CXX H5StrType.lo CXX H5ArrayType.lo CXX H5VarLenType.lo CXX H5CompType.lo CXX H5DataSet.lo CXX H5CommonFG.lo CXX H5Group.lo CXX H5File.lo CXXLD libhdf5_cpp.la make[4]: Leaving directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/c++/src' make[3]: Leaving directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/c++/src' make[2]: Leaving directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/c++' make[2]: Entering directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/hl' make[3]: Entering directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/hl' make[3]: Nothing to be done for 'build-lib'. make[3]: Leaving directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/hl' + cd src + make lib make[3]: Entering directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/hl/src' make[4]: Entering directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/hl/src' CC H5DO.lo CC H5DS.lo CC H5IM.lo CC H5LT.lo CC H5LTanalyze.lo CC H5LTparse.lo CC H5PT.lo CC H5TB.lo CC H5LD.lo CCLD libhdf5_hl.la make[4]: Leaving directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/hl/src' make[3]: Leaving directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/hl/src' + cd c++ + make lib make[3]: Entering directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/hl/c++' make[4]: Entering directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/hl/c++' make[4]: Nothing to be done for 'build-lib'. make[4]: Leaving directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/hl/c++' + cd src + make lib make[4]: Entering directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/hl/c++/src' make[5]: Entering directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/hl/c++/src' CXX H5PacketTable.lo CXXLD libhdf5_hl_cpp.la make[5]: Leaving directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/hl/c++/src' make[4]: Leaving directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/hl/c++/src' make[3]: Leaving directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/hl/c++' make[2]: Leaving directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5/hl' make[1]: Leaving directory '/tmp/RtmpTED13y/R.INSTALL15395031cc9af1/Rhdf5lib/src/hdf5' mkdir -p "/home/omnipath/local/R/4.3-3.17/00LOCK-Rhdf5lib/00new/Rhdf5lib/include" cp "hdf5/src"/*.h "/home/omnipath/local/R/4.3-3.17/00LOCK-Rhdf5lib/00new/Rhdf5lib/include" cp "hdf5/c++/src"/*.h "/home/omnipath/local/R/4.3-3.17/00LOCK-Rhdf5lib/00new/Rhdf5lib/include" cp "hdf5/hl/src"/*.h "/home/omnipath/local/R/4.3-3.17/00LOCK-Rhdf5lib/00new/Rhdf5lib/include" cp "hdf5/hl/c++/src"/*.h "/home/omnipath/local/R/4.3-3.17/00LOCK-Rhdf5lib/00new/Rhdf5lib/include" cp "hdf5/src"/libhdf5.settings "/home/omnipath/local/R/4.3-3.17/00LOCK-Rhdf5lib/00new/Rhdf5lib/include" mkdir -p "/home/omnipath/local/R/4.3-3.17/00LOCK-Rhdf5lib/00new/Rhdf5lib/lib/" cp "hdf5/src/.libs/libhdf5.a" "/home/omnipath/local/R/4.3-3.17/00LOCK-Rhdf5lib/00new/Rhdf5lib/lib/" cp "hdf5/c++/src/.libs/libhdf5_cpp.a" "/home/omnipath/local/R/4.3-3.17/00LOCK-Rhdf5lib/00new/Rhdf5lib/lib/" cp "hdf5/hl/src/.libs/libhdf5_hl.a" "/home/omnipath/local/R/4.3-3.17/00LOCK-Rhdf5lib/00new/Rhdf5lib/lib/" cp "hdf5/hl/c++/src/.libs/libhdf5_hl_cpp.a" "/home/omnipath/local/R/4.3-3.17/00LOCK-Rhdf5lib/00new/Rhdf5lib/lib/" gcc -I"/usr/share/R/include" -DNDEBUG -I/home/omnipath/local/R/4.3-3.17/00LOCK-Rhdf5lib/00new/Rhdf5lib/include -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c Rhdf5lib.c -o Rhdf5lib.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o Rhdf5lib.so Rhdf5lib.o /home/omnipath/local/R/4.3-3.17/00LOCK-Rhdf5lib/00new/Rhdf5lib/lib/libhdf5.a -lsz -laec -lz -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-Rhdf5lib/00new/Rhdf5lib/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rhdf5lib) * installing *source* package ‘iterators’ ... ** package ‘iterators’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (iterators) * installing *source* package ‘scattermore’ ... ** package ‘scattermore’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c histogram_to_rgbwt.cpp -o histogram_to_rgbwt.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c kernel_histogram.cpp -o kernel_histogram.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c kernel_rgbwt.cpp -o kernel_rgbwt.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c scatter_histogram.cpp -o scatter_histogram.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c scatter_indexed_rgbwt.cpp -o scatter_indexed_rgbwt.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c scatter_lines_histogram.cpp -o scatter_lines_histogram.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c scatter_lines_rgbwt.cpp -o scatter_lines_rgbwt.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c scatter_multicolor_rgbwt.cpp -o scatter_multicolor_rgbwt.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c scatter_singlecolor_rgbwt.cpp -o scatter_singlecolor_rgbwt.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c scattermore.c -o scattermore.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o scattermore.so histogram_to_rgbwt.o kernel_histogram.o kernel_rgbwt.o scatter_histogram.o scatter_indexed_rgbwt.o scatter_lines_histogram.o scatter_lines_rgbwt.o scatter_multicolor_rgbwt.o scatter_singlecolor_rgbwt.o scattermore.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-scattermore/00new/scattermore/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (scattermore) * installing *source* package ‘Rtsne’ ... ** package ‘Rtsne’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fopenmp -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fopenmp -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c Rtsne.cpp -o Rtsne.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fopenmp -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c normalize_input.cpp -o normalize_input.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fopenmp -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c sptree.cpp -o sptree.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fopenmp -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c tsne.cpp -o tsne.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o Rtsne.so RcppExports.o Rtsne.o normalize_input.o sptree.o tsne.o -llapack -lblas -lgfortran -lm -lquadmath -fopenmp -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-Rtsne/00new/Rtsne/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rtsne) * installing *source* package ‘ROCR’ ... ** package ‘ROCR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ROCR) * installing *source* package ‘RANN’ ... ** package ‘RANN’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I. -IANN -DRANN -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c ANN.cpp -o ANN.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I. -IANN -DRANN -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c NN.cc -o NN.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I. -IANN -DRANN -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c bd_fix_rad_search.cpp -o bd_fix_rad_search.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I. -IANN -DRANN -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c bd_pr_search.cpp -o bd_pr_search.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I. -IANN -DRANN -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c bd_search.cpp -o bd_search.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I. -IANN -DRANN -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c bd_tree.cpp -o bd_tree.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I. -IANN -DRANN -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c brute.cpp -o brute.o gcc -I"/usr/share/R/include" -DNDEBUG -I. -IANN -DRANN -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.c -o init.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I. -IANN -DRANN -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c kd_dump.cpp -o kd_dump.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I. -IANN -DRANN -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c kd_fix_rad_search.cpp -o kd_fix_rad_search.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I. -IANN -DRANN -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c kd_pr_search.cpp -o kd_pr_search.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I. -IANN -DRANN -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c kd_search.cpp -o kd_search.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I. -IANN -DRANN -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c kd_split.cpp -o kd_split.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I. -IANN -DRANN -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c kd_tree.cpp -o kd_tree.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I. -IANN -DRANN -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c kd_util.cpp -o kd_util.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o RANN.so ANN.o NN.o bd_fix_rad_search.o bd_pr_search.o bd_search.o bd_tree.o brute.o init.o kd_dump.o kd_fix_rad_search.o kd_pr_search.o kd_search.o kd_split.o kd_tree.o kd_util.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-RANN/00new/RANN/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RANN) * installing *source* package ‘pbapply’ ... ** package ‘pbapply’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pbapply) * installing *source* package ‘patchwork’ ... ** package ‘patchwork’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (patchwork) * installing *source* package ‘miniUI’ ... ** package ‘miniUI’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (miniUI) * installing *source* package ‘ica’ ... ** package ‘ica’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ica) * installing *source* package ‘ggridges’ ... ** package ‘ggridges’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggridges) * installing *source* package ‘ggrepel’ ... ** package ‘ggrepel’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c repel_boxes.cpp -o repel_boxes.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o ggrepel.so RcppExports.o repel_boxes.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-ggrepel/00new/ggrepel/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggrepel) * installing *source* package ‘fitdistrplus’ ... ** package ‘fitdistrplus’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fitdistrplus) * installing *source* package ‘logger’ ... ** package ‘logger’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (logger) * installing *source* package ‘checkmate’ ... ** package ‘checkmate’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c all_missing.c -o all_missing.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c any_infinite.c -o any_infinite.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c any_missing.c -o any_missing.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c any_nan.c -o any_nan.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c checks.c -o checks.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c find_nchar.c -o find_nchar.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c guess_type.c -o guess_type.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c helper.c -o helper.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.c -o init.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c integerish.c -o integerish.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c is_sorted.c -o is_sorted.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c qassert.c -o qassert.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c which_first.c -o which_first.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o checkmate.so all_missing.o any_infinite.o any_missing.o any_nan.o checks.o find_nchar.o guess_type.o helper.o init.o integerish.o is_sorted.o qassert.o which_first.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-checkmate/00new/checkmate/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (checkmate) * installing *source* package ‘brew’ ... ** package ‘brew’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (brew) * installing *source* package ‘whisker’ ... ** package ‘whisker’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (whisker) * installing *source* package ‘downlit’ ... ** package ‘downlit’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (downlit) * installing *source* package ‘shape’ ... ** package ‘shape’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shape) * installing *source* package ‘pheatmap’ ... ** package ‘pheatmap’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pheatmap) * installing *source* package ‘dqrng’ ... ** package ‘dqrng’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include -DSTRICT_R_HEADERS -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/BH/include' -I'/home/omnipath/local/R/4.3-3.17/sitmo/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include -DSTRICT_R_HEADERS -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/BH/include' -I'/home/omnipath/local/R/4.3-3.17/sitmo/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c dqrng.cpp -o dqrng.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include -DSTRICT_R_HEADERS -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/BH/include' -I'/home/omnipath/local/R/4.3-3.17/sitmo/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c generateSeedVectors.cpp -o generateSeedVectors.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o dqrng.so RcppExports.o dqrng.o generateSeedVectors.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-dqrng/00new/dqrng/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dqrng) * installing *source* package ‘spatstat.data’ ... ** package ‘spatstat.data’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (spatstat.data) * installing *source* package ‘spatstat.sparse’ ... ** package ‘spatstat.sparse’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.c -o init.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c linalg.c -o linalg.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c sparselinalg.c -o sparselinalg.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o spatstat.sparse.so init.o linalg.o sparselinalg.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-spatstat.sparse/00new/spatstat.sparse/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (spatstat.sparse) * installing *source* package ‘future’ ... ** package ‘future’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (future) * installing *source* package ‘reticulate’ ... ** package ‘reticulate’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c event_loop.cpp -o event_loop.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c libpython.cpp -o libpython.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c output.cpp -o output.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c python.cpp -o python.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c readline.cpp -o readline.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c signals.cpp -o signals.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o reticulate.so RcppExports.o event_loop.o libpython.o output.o python.o readline.o signals.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-reticulate/00new/reticulate/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (reticulate) * installing *source* package ‘cellranger’ ... ** package ‘cellranger’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cellranger) * installing *source* package ‘textshaping’ ... ** package ‘textshaping’ successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/usr/local/include/freetype2 -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/fribidi Using PKG_LIBS=-L/usr/local/lib -lharfbuzz -lfreetype -lfribidi ** libs using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ rm -f textshaping.so cpp11.o face_feature.o hb_shaper.o init.o string_bidi.o string_metrics.o string_shape.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/fribidi -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -I'/home/omnipath/local/R/4.3-3.17/systemfonts/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c cpp11.cpp -o cpp11.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/fribidi -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -I'/home/omnipath/local/R/4.3-3.17/systemfonts/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c face_feature.cpp -o face_feature.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/fribidi -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -I'/home/omnipath/local/R/4.3-3.17/systemfonts/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c hb_shaper.cpp -o hb_shaper.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/fribidi -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -I'/home/omnipath/local/R/4.3-3.17/systemfonts/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.cpp -o init.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/fribidi -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -I'/home/omnipath/local/R/4.3-3.17/systemfonts/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c string_bidi.cpp -o string_bidi.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/fribidi -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -I'/home/omnipath/local/R/4.3-3.17/systemfonts/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c string_metrics.cpp -o string_metrics.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DNDEBUG -I/usr/local/include/freetype2 -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/fribidi -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -I'/home/omnipath/local/R/4.3-3.17/systemfonts/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c string_shape.cpp -o string_shape.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o textshaping.so cpp11.o face_feature.o hb_shaper.o init.o string_bidi.o string_metrics.o string_shape.o -L/usr/local/lib -lharfbuzz -lfreetype -lfribidi -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-textshaping/00new/textshaping/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (textshaping) * installing *source* package ‘S4Arrays’ ... ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c R_init_S4Arrays.c -o R_init_S4Arrays.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c S4Vectors_stubs.c -o S4Vectors_stubs.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c abind.c -o abind.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c array_selection.c -o array_selection.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c dim_tuning_utils.c -o dim_tuning_utils.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o S4Arrays.so R_init_S4Arrays.o S4Vectors_stubs.o abind.o array_selection.o dim_tuning_utils.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-S4Arrays/00new/S4Arrays/libs ** R ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for ‘rowsum’ in package ‘S4Arrays’ Creating a new generic function for ‘abind’ in package ‘S4Arrays’ ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (S4Arrays) * installing *source* package ‘MatrixGenerics’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for ‘rowAlls’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colAlls’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowAnyNAs’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colAnyNAs’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowAnys’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colAnys’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowAvgsPerColSet’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colAvgsPerRowSet’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowCollapse’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colCollapse’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowCounts’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colCounts’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowCummaxs’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colCummaxs’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowCummins’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colCummins’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowCumprods’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colCumprods’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowCumsums’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colCumsums’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowDiffs’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colDiffs’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowIQRDiffs’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colIQRDiffs’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowIQRs’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colIQRs’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowLogSumExps’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colLogSumExps’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowMadDiffs’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colMadDiffs’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowMads’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colMads’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowMaxs’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colMaxs’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowMeans2’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colMeans2’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowMedians’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colMedians’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowMins’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colMins’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowOrderStats’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colOrderStats’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowProds’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colProds’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowQuantiles’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colQuantiles’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowRanges’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colRanges’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowRanks’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colRanks’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowSdDiffs’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colSdDiffs’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowSds’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colSds’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowSums2’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colSums2’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowTabulates’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colTabulates’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowVarDiffs’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colVarDiffs’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowVars’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colVars’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowWeightedMads’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colWeightedMads’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowWeightedMeans’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colWeightedMeans’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowWeightedMedians’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colWeightedMedians’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowWeightedSds’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colWeightedSds’ in package ‘MatrixGenerics’ Creating a new generic function for ‘rowWeightedVars’ in package ‘MatrixGenerics’ Creating a new generic function for ‘colWeightedVars’ in package ‘MatrixGenerics’ ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (MatrixGenerics) * installing *source* package ‘R.oo’ ... ** package ‘R.oo’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Warning in setGenericS3.default(name, export = exportGeneric, envir = envir, : Renamed the preexisting function getMethods to getMethods.default, which was defined in environment R.oo. Warning in setGenericS3.default(name, export = exportGeneric, envir = envir, : Renamed the preexisting function getClasses to getClasses.default, which was defined in environment R.oo. ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (R.oo) * installing *source* package ‘rhdf5filters’ ... ** using staged installation configuring the BLOSC filter... x86_CPU=true checking for gcc... gcc checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C... yes checking whether gcc accepts -g... yes checking for gcc option to enable C11 features... none needed checking whether C compiler accepts -msse2... yes checking whether C compiler accepts -mavx2... yes checking for gcc __builtin_cpu_init function... (cached) true checking for x86 sse2 instruction support... yes checking for x86 avx2 instruction support... yes configure: creating ./config.status config.status: creating src/blosc/lib/blosc-1.20.1/Makefile config.status: creating src/blosc/Makefile configure: BZIP2_LIB=bzip2/libH5Zbz2.so configure: BLOSC_LIB=blosc/libH5Zblosc.so configure: LZF_LIB=lzf/libH5Zlzf.so configure: ZSTD_LIB=zstd/libH5Zzstd.so configure: creating ./config.status config.status: creating src/blosc/lib/blosc-1.20.1/Makefile config.status: creating src/blosc/Makefile config.status: creating src/Makevars ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ make -C zstd make[1]: Entering directory '/tmp/RtmpQvBS7U/R.INSTALL158b84c757c1/rhdf5filters/src/zstd' gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c common/debug.c -o common/debug.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c common/entropy_common.c -o common/entropy_common.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c common/error_private.c -o common/error_private.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c common/fse_decompress.c -o common/fse_decompress.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c common/pool.c -o common/pool.o -o common/pool.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c common/threading.c -o common/threading.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c common/xxhash.c -o common/xxhash.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c common/zstd_common.c -o common/zstd_common.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c compress/fse_compress.c -o compress/fse_compress.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c compress/hist.c -o compress/hist.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c compress/huf_compress.c -o compress/huf_compress.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c compress/zstd_compress.c -o compress/zstd_compress.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c compress/zstd_compress_literals.c -o compress/zstd_compress_literals.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c compress/zstd_compress_sequences.c -o compress/zstd_compress_sequences.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c compress/zstd_compress_superblock.c -o compress/zstd_compress_superblock.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c compress/zstd_double_fast.c -o compress/zstd_double_fast.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c compress/zstd_fast.c -o compress/zstd_fast.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c compress/zstd_lazy.c -o compress/zstd_lazy.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c compress/zstd_ldm.c -o compress/zstd_ldm.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c compress/zstd_opt.c -o compress/zstd_opt.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c compress/zstdmt_compress.c -o compress/zstdmt_compress.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c decompress/huf_decompress.c -o decompress/huf_decompress.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c decompress/zstd_ddict.c -o decompress/zstd_ddict.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c decompress/zstd_decompress.c -o decompress/zstd_decompress.o gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I. -I./common -DXXH_NAMESPACE=ZSTD_ -DZSTD_DISABLE_ASM -c decompress/zstd_decompress_block.c -o decompress/zstd_decompress_block.o rm -f libzstd.a ar cq libzstd.a common/debug.o common/entropy_common.o common/error_private.o common/fse_decompress.o common/pool.o common/threading.o common/xxhash.o common/zstd_common.o compress/fse_compress.o compress/hist.o compress/huf_compress.o compress/zstd_compress.o compress/zstd_compress_literals.o compress/zstd_compress_sequences.o compress/zstd_compress_superblock.o compress/zstd_double_fast.o compress/zstd_fast.o compress/zstd_lazy.o compress/zstd_ldm.o compress/zstd_opt.o compress/zstdmt_compress.o decompress/huf_decompress.o decompress/zstd_ddict.o decompress/zstd_decompress.o decompress/zstd_decompress_block.o ranlib libzstd.a gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -shared H5Zzstd.c -I"/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include" \ libzstd.a -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o libH5Zzstd.so make[1]: Leaving directory '/tmp/RtmpQvBS7U/R.INSTALL158b84c757c1/rhdf5filters/src/zstd' make -C blosc make[1]: Entering directory '/tmp/RtmpQvBS7U/R.INSTALL158b84c757c1/rhdf5filters/src/blosc' make -C lib/snappy-1.1.1 make[2]: Entering directory '/tmp/RtmpQvBS7U/R.INSTALL158b84c757c1/rhdf5filters/src/blosc/lib/snappy-1.1.1' g++ -std=gnu++17 -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I"/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include" -c snappy.cc g++ -std=gnu++17 -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I"/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include" -c snappy-c.cc g++ -std=gnu++17 -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I"/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include" -c snappy-sinksource.cc g++ -std=gnu++17 -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I"/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include" -c snappy-stubs-internal.cc make[2]: Leaving directory '/tmp/RtmpQvBS7U/R.INSTALL158b84c757c1/rhdf5filters/src/blosc/lib/snappy-1.1.1' make -C lib/lz4-1.9.4 make[2]: Entering directory '/tmp/RtmpQvBS7U/R.INSTALL158b84c757c1/rhdf5filters/src/blosc/lib/lz4-1.9.4' gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -c lz4.c gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -c lz4hc.c make[2]: Leaving directory '/tmp/RtmpQvBS7U/R.INSTALL158b84c757c1/rhdf5filters/src/blosc/lib/lz4-1.9.4' make -C lib/blosc-1.20.1 all make[2]: Entering directory '/tmp/RtmpQvBS7U/R.INSTALL158b84c757c1/rhdf5filters/src/blosc/lib/blosc-1.20.1' gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I"/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include" -I../lz4-1.9.4 -I../snappy-1.1.1 -I../../../zstd -msse2 -mavx2 -c bitshuffle-avx2.c gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I"/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include" -I../lz4-1.9.4 -I../snappy-1.1.1 -I../../../zstd -msse2 -mavx2 -c shuffle-avx2.c gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I"/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include" -I../lz4-1.9.4 -I../snappy-1.1.1 -I../../../zstd -msse2 -mavx2 -c bitshuffle-sse2.c gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I"/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include" -I../lz4-1.9.4 -I../snappy-1.1.1 -I../../../zstd -msse2 -mavx2 -c shuffle-sse2.c gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I"/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include" -I../lz4-1.9.4 -I../snappy-1.1.1 -I../../../zstd -msse2 -mavx2 -c bitshuffle-generic.c gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I"/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include" -I../lz4-1.9.4 -I../snappy-1.1.1 -I../../../zstd -msse2 -mavx2 -c shuffle-generic.c gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I"/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include" -I../lz4-1.9.4 -I../snappy-1.1.1 -I../../../zstd -msse2 -mavx2 -DSHUFFLE_SSE2_ENABLED -DSHUFFLE_AVX2_ENABLED -c shuffle.c gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I"/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include" -I../lz4-1.9.4 -I../snappy-1.1.1 -I../../../zstd -msse2 -mavx2 -c blosclz.c gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I"/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include" -I../lz4-1.9.4 -I../snappy-1.1.1 -I../../../zstd -msse2 -mavx2 -c blosc.c gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -I"/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include" -I../lz4-1.9.4 -I../snappy-1.1.1 -I../../../zstd -msse2 -mavx2 -c fastcopy.c make[2]: Leaving directory '/tmp/RtmpQvBS7U/R.INSTALL158b84c757c1/rhdf5filters/src/blosc/lib/blosc-1.20.1' rm -f libblosc.a ar cq libblosc.a lib/blosc-1.20.1/bitshuffle-avx2.o lib/blosc-1.20.1/blosc.o lib/blosc-1.20.1/shuffle-avx2.o lib/blosc-1.20.1/shuffle-sse2.o lib/blosc-1.20.1/bitshuffle-generic.o lib/blosc-1.20.1/blosclz.o lib/blosc-1.20.1/shuffle.o lib/blosc-1.20.1/bitshuffle-sse2.o lib/blosc-1.20.1/fastcopy.o lib/blosc-1.20.1/shuffle-generic.o lib/snappy-1.1.1/snappy.o lib/snappy-1.1.1/snappy-c.o lib/snappy-1.1.1/snappy-sinksource.o lib/snappy-1.1.1/snappy-stubs-internal.o lib/lz4-1.9.4/lz4.o lib/lz4-1.9.4/lz4hc.o ranlib libblosc.a gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -c -o H5Zblosc.o H5Zblosc.c \ -I"/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include" -I./lib/blosc-1.20.1 g++ -std=gnu++17 -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -shared -o libH5Zblosc.so H5Zblosc.o \ libblosc.a ../zstd/libzstd.a -lz make[1]: Leaving directory '/tmp/RtmpQvBS7U/R.INSTALL158b84c757c1/rhdf5filters/src/blosc' make -C bzip2 make[1]: Entering directory '/tmp/RtmpQvBS7U/R.INSTALL158b84c757c1/rhdf5filters/src/bzip2' make -C bzip2-1.0.8 make[2]: Entering directory '/tmp/RtmpQvBS7U/R.INSTALL158b84c757c1/rhdf5filters/src/bzip2/bzip2-1.0.8' gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -D_FILE_OFFSET_BITS=64 -c blocksort.c gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -D_FILE_OFFSET_BITS=64 -c huffman.c gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -D_FILE_OFFSET_BITS=64 -c crctable.c gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -D_FILE_OFFSET_BITS=64 -c randtable.c gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -D_FILE_OFFSET_BITS=64 -c compress.c gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -D_FILE_OFFSET_BITS=64 -c decompress.c gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -D_FILE_OFFSET_BITS=64 -c bzlib.c rm -f libbz2.a ar cq libbz2.a blocksort.o huffman.o crctable.o randtable.o compress.o decompress.o bzlib.o ranlib libbz2.a make[2]: Leaving directory '/tmp/RtmpQvBS7U/R.INSTALL158b84c757c1/rhdf5filters/src/bzip2/bzip2-1.0.8' gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -shared H5Zbzip2.c -I"/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include" \ -I./bzip2-1.0.8/ ./bzip2-1.0.8/libbz2.a -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o libH5Zbz2.so make[1]: Leaving directory '/tmp/RtmpQvBS7U/R.INSTALL158b84c757c1/rhdf5filters/src/bzip2' make -C lzf make[1]: Entering directory '/tmp/RtmpQvBS7U/R.INSTALL158b84c757c1/rhdf5filters/src/lzf' make -C lzf make[2]: Entering directory '/tmp/RtmpQvBS7U/R.INSTALL158b84c757c1/rhdf5filters/src/lzf/lzf' gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -c lzf_c.c gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -c lzf_d.c rm -f liblzf.a ar cq liblzf.a lzf_c.o lzf_d.o ranlib liblzf.a make[2]: Leaving directory '/tmp/RtmpQvBS7U/R.INSTALL158b84c757c1/rhdf5filters/src/lzf/lzf' gcc -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -shared H5Zlzf.c -I"/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include" \ -I./lzf/ ./lzf/liblzf.a -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o libH5Zlzf.so make[1]: Leaving directory '/tmp/RtmpQvBS7U/R.INSTALL158b84c757c1/rhdf5filters/src/lzf' mkdir -p "/home/omnipath/local/R/4.3-3.17/00LOCK-rhdf5filters/00new/rhdf5filters/lib/" cp bzip2/libH5Zbz2.so "/home/omnipath/local/R/4.3-3.17/00LOCK-rhdf5filters/00new/rhdf5filters/lib/" cp blosc/libH5Zblosc.so "/home/omnipath/local/R/4.3-3.17/00LOCK-rhdf5filters/00new/rhdf5filters/lib/" cp lzf/libH5Zlzf.so "/home/omnipath/local/R/4.3-3.17/00LOCK-rhdf5filters/00new/rhdf5filters/lib/" cp zstd/libH5Zzstd.so "/home/omnipath/local/R/4.3-3.17/00LOCK-rhdf5filters/00new/rhdf5filters/lib/" gcc -I"/usr/share/R/include" -DNDEBUG -I"/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include" -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rhdf5filters.c -o rhdf5filters.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o rhdf5filters.so rhdf5filters.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-rhdf5filters/00new/rhdf5filters/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rhdf5filters) * installing *source* package ‘lmtest’ ... ** package ‘lmtest’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using Fortran compiler: ‘GNU Fortran (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.c -o init.o gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c pan.f -o pan.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o lmtest.so init.o pan.o -lgfortran -lm -lquadmath -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-lmtest/00new/lmtest/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lmtest) * installing *source* package ‘rvest’ ... ** package ‘rvest’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rvest) * installing *source* package ‘mixtools’ ... ** package ‘mixtools’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c KDEloc2.c -o KDEloc2.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c KDElocscale.c -o KDElocscale.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c KDErepeated.c -o KDErepeated.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c KDErepeatedbw.c -o KDErepeatedbw.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c KDEsymloc.c -o KDEsymloc.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c KDEsymloc1comp.c -o KDEsymloc1comp.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c KDEsymloc2.c -o KDEsymloc2.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.c -o init.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c multinompost.c -o multinompost.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c mvwkde.c -o mvwkde.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c new_svalues.c -o new_svalues.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c normpost.c -o normpost.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c npMSL.c -o npMSL.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c sd.c -o sd.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c z.c -o z.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o mixtools.so KDEloc2.o KDElocscale.o KDErepeated.o KDErepeatedbw.o KDEsymloc.o KDEsymloc1comp.o KDEsymloc2.o init.o multinompost.o mvwkde.o new_svalues.o normpost.o npMSL.o sd.o z.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-mixtools/00new/mixtools/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mixtools) * installing *source* package ‘e1071’ ... ** package ‘e1071’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c Rsvm.c -o Rsvm.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c cmeans.c -o cmeans.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c cshell.c -o cshell.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c floyd.c -o floyd.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.c -o init.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c svm.cpp -o svm.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o e1071.so Rsvm.o cmeans.o cshell.o floyd.o init.o svm.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-e1071/00new/e1071/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (e1071) * installing *source* package ‘foreach’ ... ** package ‘foreach’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (foreach) * installing *source* package ‘roxygen2’ ... ** package ‘roxygen2’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++11 g++ -std=gnu++11 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c cpp11.cpp -o cpp11.o g++ -std=gnu++11 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c escapeExamples.cpp -o escapeExamples.o g++ -std=gnu++11 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c isComplete.cpp -o isComplete.o g++ -std=gnu++11 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c leadingSpaces.cpp -o leadingSpaces.o g++ -std=gnu++11 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c parser2.cpp -o parser2.o g++ -std=gnu++11 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c wrapUsage.cpp -o wrapUsage.o g++ -std=gnu++11 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o roxygen2.so cpp11.o escapeExamples.o isComplete.o leadingSpaces.o parser2.o wrapUsage.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-roxygen2/00new/roxygen2/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (roxygen2) * installing *source* package ‘ranger’ ... ** package ‘ranger’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DR_BUILD -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c AAA_check_cpp11.cpp -o AAA_check_cpp11.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DR_BUILD -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c Data.cpp -o Data.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DR_BUILD -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c DataSparse.cpp -o DataSparse.o In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:397, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from DataSparse.h:31, from DataSparse.cpp:29: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:377, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from DataSparse.h:31, from DataSparse.cpp:29: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from DataSparse.h:31, from DataSparse.cpp:29: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from DataSparse.h:31, from DataSparse.cpp:29: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from DataSparse.h:31, from DataSparse.cpp:29: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from DataSparse.h:31, from DataSparse.cpp:29: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from DataSparse.h:31, from DataSparse.cpp:29: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from DataSparse.h:31, from DataSparse.cpp:29: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from DataSparse.h:31, from DataSparse.cpp:29: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1243:70: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::insert(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:217:16: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::coeffRef(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar = double; Eigen::Index = long int]’ DataSparse.h:70:15: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1243:70: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::insert(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:217:16: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::coeffRef(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar = double; Eigen::Index = long int]’ DataSparse.h:70:15: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:29: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1139:16: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::insert(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:217:16: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::coeffRef(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar = double; Eigen::Index = long int]’ DataSparse.h:70:15: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:35: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1139:16: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::insert(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:217:16: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::coeffRef(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar = double; Eigen::Index = long int]’ DataSparse.h:70:15: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DR_BUILD -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c Forest.cpp -o Forest.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DR_BUILD -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c ForestClassification.cpp -o ForestClassification.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DR_BUILD -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c ForestProbability.cpp -o ForestProbability.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DR_BUILD -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c ForestRegression.cpp -o ForestRegression.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DR_BUILD -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c ForestSurvival.cpp -o ForestSurvival.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DR_BUILD -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:397, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:5: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:377, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:5: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:5: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:5: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:5: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:5: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:5: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:5: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:5: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:77:20: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = Eigen::internal::assign_op; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseMatrix; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:842:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:709:13: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenWrap.h:432:24: required from ‘Eigen::SparseMatrix Rcpp::traits::Exporter >::get() [with T = double]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/as.h:89:32: required from ‘T Rcpp::internal::as(SEXP, Rcpp::traits::r_type_generic_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/as.h:152:31: required from ‘T Rcpp::as(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/InputParameter.h:46:54: required from ‘Rcpp::ReferenceInputParameter::ReferenceInputParameter(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ RcppExports.cpp:58:94: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:709:13: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenWrap.h:432:24: required from ‘Eigen::SparseMatrix Rcpp::traits::Exporter >::get() [with T = double]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/as.h:89:32: required from ‘T Rcpp::internal::as(SEXP, Rcpp::traits::r_type_generic_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/as.h:152:31: required from ‘T Rcpp::as(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/InputParameter.h:46:54: required from ‘Rcpp::ReferenceInputParameter::ReferenceInputParameter(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ RcppExports.cpp:58:94: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:35: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:163:21: required from ‘Eigen::SparseCompressedBase::InnerIterator::InnerIterator(const Eigen::SparseCompressedBase&, Eigen::Index) [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:90:53: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:709:13: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenWrap.h:432:24: required from ‘Eigen::SparseMatrix Rcpp::traits::Exporter >::get() [with T = double]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/as.h:89:32: required from ‘T Rcpp::internal::as(SEXP, Rcpp::traits::r_type_generic_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/as.h:152:31: required from ‘T Rcpp::as(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/InputParameter.h:46:54: required from ‘Rcpp::ReferenceInputParameter::ReferenceInputParameter(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ RcppExports.cpp:58:94: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DR_BUILD -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c Tree.cpp -o Tree.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DR_BUILD -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c TreeClassification.cpp -o TreeClassification.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DR_BUILD -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c TreeProbability.cpp -o TreeProbability.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DR_BUILD -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c TreeRegression.cpp -o TreeRegression.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DR_BUILD -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c TreeSurvival.cpp -o TreeSurvival.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DR_BUILD -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rangerCpp.cpp -o rangerCpp.o In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:397, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from rangerCpp.cpp:28: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:377, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from rangerCpp.cpp:28: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from rangerCpp.cpp:28: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from rangerCpp.cpp:28: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from rangerCpp.cpp:28: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from rangerCpp.cpp:28: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from rangerCpp.cpp:28: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from rangerCpp.cpp:28: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from rangerCpp.cpp:28: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1243:70: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::insert(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:217:16: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::coeffRef(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar = double; Eigen::Index = long int]’ DataSparse.h:70:15: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1243:70: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::insert(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:217:16: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::coeffRef(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar = double; Eigen::Index = long int]’ DataSparse.h:70:15: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:29: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1139:16: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::insert(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:217:16: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::coeffRef(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar = double; Eigen::Index = long int]’ DataSparse.h:70:15: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:35: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1139:16: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::insert(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:217:16: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::coeffRef(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar = double; Eigen::Index = long int]’ DataSparse.h:70:15: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DR_BUILD -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c utility.cpp -o utility.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -DR_BUILD -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c utilityRcpp.cpp -o utilityRcpp.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o ranger.so AAA_check_cpp11.o Data.o DataSparse.o Forest.o ForestClassification.o ForestProbability.o ForestRegression.o ForestSurvival.o RcppExports.o Tree.o TreeClassification.o TreeProbability.o TreeRegression.o TreeSurvival.o rangerCpp.o utility.o utilityRcpp.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-ranger/00new/ranger/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ranger) * installing *source* package ‘spatstat.geom’ ... ** package ‘spatstat.geom’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c areadiff.c -o areadiff.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c auctionbf.c -o auctionbf.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c bdrymask.c -o bdrymask.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c close3pair.c -o close3pair.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c closepair.c -o closepair.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c connectgraph.c -o connectgraph.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c connectpix.c -o connectpix.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c dinfty.c -o dinfty.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c discarea.c -o discarea.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c discs.c -o discs.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c dist2dpath.c -o dist2dpath.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c distan3.c -o distan3.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c distances.c -o distances.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c distmapbin.c -o distmapbin.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c dwpure.c -o dwpure.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c exactPdist.c -o exactPdist.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c exactdist.c -o exactdist.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c fardist.c -o fardist.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c hasclose.c -o hasclose.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c hotrod.c -o hotrod.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.c -o init.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c knndistance.c -o knndistance.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c knngrid.c -o knngrid.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c loccum.c -o loccum.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c metricPdist.c -o metricPdist.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c minnnd.c -o minnnd.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c nearestpix.c -o nearestpix.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c nn3Ddist.c -o nn3Ddist.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c nnMDdist.c -o nnMDdist.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c nndistance.c -o nndistance.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c nngrid.c -o nngrid.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c periodic.c -o periodic.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c poly2im.c -o poly2im.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c quasirandom.c -o quasirandom.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c raster.c -o raster.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rasterfilter.c -o rasterfilter.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c scan.c -o scan.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c seg2pix.c -o seg2pix.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c tabnum.c -o tabnum.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c trigraf.c -o trigraf.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c uniquemap.c -o uniquemap.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c veegraf.c -o veegraf.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c whist.c -o whist.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c xyseg.c -o xyseg.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o spatstat.geom.so areadiff.o auctionbf.o bdrymask.o close3pair.o closepair.o connectgraph.o connectpix.o dinfty.o discarea.o discs.o dist2dpath.o distan3.o distances.o distmapbin.o dwpure.o exactPdist.o exactdist.o fardist.o hasclose.o hotrod.o init.o knndistance.o knngrid.o loccum.o metricPdist.o minnnd.o nearestpix.o nn3Ddist.o nnMDdist.o nndistance.o nngrid.o periodic.o poly2im.o quasirandom.o raster.o rasterfilter.o scan.o seg2pix.o tabnum.o trigraf.o uniquemap.o veegraf.o whist.o xyseg.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-spatstat.geom/00new/spatstat.geom/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (spatstat.geom) * installing *source* package ‘future.apply’ ... ** package ‘future.apply’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (future.apply) * installing *source* package ‘DelayedArray’ ... ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c R_init_DelayedArray.c -o R_init_DelayedArray.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c S4Vectors_stubs.c -o S4Vectors_stubs.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c compress_atomic_vector.c -o compress_atomic_vector.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c sparseMatrix_utils.c -o sparseMatrix_utils.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o DelayedArray.so R_init_DelayedArray.o S4Vectors_stubs.o compress_atomic_vector.o sparseMatrix_utils.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-DelayedArray/00new/DelayedArray/libs ** R ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for ‘apply’ in package ‘DelayedArray’ Creating a new generic function for ‘sweep’ in package ‘DelayedArray’ Creating a new generic function for ‘scale’ in package ‘DelayedArray’ Creating a generic function for ‘dnorm’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘pnorm’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘qnorm’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘dbinom’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘pbinom’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘qbinom’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘dpois’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘ppois’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘qpois’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘dlogis’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘plogis’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘qlogis’ from package ‘stats’ in package ‘DelayedArray’ ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DelayedArray) * installing *source* package ‘sparseMatrixStats’ ... ** using staged installation ** libs using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++11 g++ -std=gnu++11 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o g++ -std=gnu++11 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c SparseMatrixView.cpp -o SparseMatrixView.o g++ -std=gnu++11 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c methods.cpp -o methods.o g++ -std=gnu++11 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c row_methods.cpp -o row_methods.o g++ -std=gnu++11 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o sparseMatrixStats.so RcppExports.o SparseMatrixView.o methods.o row_methods.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-sparseMatrixStats/00new/sparseMatrixStats/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sparseMatrixStats) * installing *source* package ‘rhdf5’ ... ** using staged installation configure: creating ./config.status config.status: creating src/external_filters.h ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c H5.c -o H5.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c H5A.c -o H5A.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c H5D.c -o H5D.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c H5E.c -o H5E.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c H5F.c -o H5F.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c H5G.c -o H5G.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c H5I.c -o H5I.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c H5L.c -o H5L.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c H5O.c -o H5O.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c H5P.c -o H5P.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c H5R.c -o H5R.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c H5S.c -o H5S.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c H5S_extras.c -o H5S_extras.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c H5T.c -o H5T.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c H5Z.c -o H5Z.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c H5constants.c -o H5constants.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c HandleList.cpp -o HandleList.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c HandleListWrap.c -o HandleListWrap.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c bit64conversion.c -o bit64conversion.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c external_filters.c -o external_filters.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c h5dump.c -o h5dump.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c h5ls.c -o h5ls.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c h5testLock.c -o h5testLock.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c h5writeDataFrame.c -o h5writeDataFrame.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c printdatatype.c -o printdatatype.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c utils.c -o utils.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c wrap.c -o wrap.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o rhdf5.so H5.o H5A.o H5D.o H5E.o H5F.o H5G.o H5I.o H5L.o H5O.o H5P.o H5R.o H5S.o H5S_extras.o H5T.o H5Z.o H5constants.o HandleList.o HandleListWrap.o bit64conversion.o external_filters.o h5dump.o h5ls.o h5testLock.o h5writeDataFrame.o printdatatype.o utils.o wrap.o /home/omnipath/local/R/4.3-3.17/Rhdf5lib/lib/libhdf5.a -lcrypto -lcurl -lsz -laec -lz -ldl -lm -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-rhdf5/00new/rhdf5/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rhdf5) * installing *source* package ‘uwot’ ... ** package ‘uwot’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include/ -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppProgress/include' -I'/home/omnipath/local/R/4.3-3.17/RcppAnnoy/include' -I'/home/omnipath/local/R/4.3-3.17/dqrng/include' -DRCPP_NO_RTTI -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include/ -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppProgress/include' -I'/home/omnipath/local/R/4.3-3.17/RcppAnnoy/include' -I'/home/omnipath/local/R/4.3-3.17/dqrng/include' -DRCPP_NO_RTTI -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c connected_components.cpp -o connected_components.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include/ -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppProgress/include' -I'/home/omnipath/local/R/4.3-3.17/RcppAnnoy/include' -I'/home/omnipath/local/R/4.3-3.17/dqrng/include' -DRCPP_NO_RTTI -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c nn_parallel.cpp -o nn_parallel.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include/ -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppProgress/include' -I'/home/omnipath/local/R/4.3-3.17/RcppAnnoy/include' -I'/home/omnipath/local/R/4.3-3.17/dqrng/include' -DRCPP_NO_RTTI -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c perplexity.cpp -o perplexity.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include/ -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppProgress/include' -I'/home/omnipath/local/R/4.3-3.17/RcppAnnoy/include' -I'/home/omnipath/local/R/4.3-3.17/dqrng/include' -DRCPP_NO_RTTI -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c r_uwot.cpp -o r_uwot.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include/ -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppProgress/include' -I'/home/omnipath/local/R/4.3-3.17/RcppAnnoy/include' -I'/home/omnipath/local/R/4.3-3.17/dqrng/include' -DRCPP_NO_RTTI -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c smooth_knn.cpp -o smooth_knn.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include/ -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppProgress/include' -I'/home/omnipath/local/R/4.3-3.17/RcppAnnoy/include' -I'/home/omnipath/local/R/4.3-3.17/dqrng/include' -DRCPP_NO_RTTI -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c supervised.cpp -o supervised.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include/ -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppProgress/include' -I'/home/omnipath/local/R/4.3-3.17/RcppAnnoy/include' -I'/home/omnipath/local/R/4.3-3.17/dqrng/include' -DRCPP_NO_RTTI -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c thread.cpp -o thread.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I../inst/include/ -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppProgress/include' -I'/home/omnipath/local/R/4.3-3.17/RcppAnnoy/include' -I'/home/omnipath/local/R/4.3-3.17/dqrng/include' -DRCPP_NO_RTTI -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c transform.cpp -o transform.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o uwot.so RcppExports.o connected_components.o nn_parallel.o perplexity.o r_uwot.o smooth_knn.o supervised.o thread.o transform.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-uwot/00new/uwot/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (uwot) * installing *source* package ‘leiden’ ... ** package ‘leiden’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (leiden) * installing *source* package ‘readxl’ ... ** package ‘readxl’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iunix -I. -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -I'/home/omnipath/local/R/4.3-3.17/progress/include' -fvisibility=hidden -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c cpp11.cpp -o cpp11.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iunix -I. -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -I'/home/omnipath/local/R/4.3-3.17/progress/include' -fvisibility=hidden -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c XlsWorkBook.cpp -o XlsWorkBook.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iunix -I. -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -I'/home/omnipath/local/R/4.3-3.17/progress/include' -fvisibility=hidden -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c XlsxWorkBook.cpp -o XlsxWorkBook.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iunix -I. -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -I'/home/omnipath/local/R/4.3-3.17/progress/include' -fvisibility=hidden -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c zip.cpp -o zip.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -Iunix -I. -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -I'/home/omnipath/local/R/4.3-3.17/progress/include' -fvisibility=hidden -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c Read.cpp -o Read.o gcc -I"/usr/share/R/include" -DNDEBUG -Iunix -I. -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -I'/home/omnipath/local/R/4.3-3.17/progress/include' -fvisibility=hidden -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c cran.c -o cran.o gcc -I"/usr/share/R/include" -DNDEBUG -Iunix -I. -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -I'/home/omnipath/local/R/4.3-3.17/progress/include' -fvisibility=hidden -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c libxls/xlstool.c -o libxls/xlstool.o gcc -I"/usr/share/R/include" -DNDEBUG -Iunix -I. -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -I'/home/omnipath/local/R/4.3-3.17/progress/include' -fvisibility=hidden -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c libxls/endian.c -o libxls/endian.o gcc -I"/usr/share/R/include" -DNDEBUG -Iunix -I. -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -I'/home/omnipath/local/R/4.3-3.17/progress/include' -fvisibility=hidden -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c libxls/ole.c -o libxls/ole.o gcc -I"/usr/share/R/include" -DNDEBUG -Iunix -I. -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -I'/home/omnipath/local/R/4.3-3.17/progress/include' -fvisibility=hidden -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c libxls/xls.c -o libxls/xls.o gcc -I"/usr/share/R/include" -DNDEBUG -Iunix -I. -I'/home/omnipath/local/R/4.3-3.17/cpp11/include' -I'/home/omnipath/local/R/4.3-3.17/progress/include' -fvisibility=hidden -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c libxls/locale.c -o libxls/locale.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o readxl.so cpp11.o XlsWorkBook.o XlsxWorkBook.o zip.o Read.o cran.o libxls/xlstool.o libxls/endian.o libxls/ole.o libxls/xls.o libxls/locale.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-readxl/00new/readxl/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (readxl) * installing *source* package ‘ragg’ ... ** package ‘ragg’ successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/usr/local/include/freetype2 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/libpng16 -I/usr/include/x86_64-linux-gnu Using PKG_LIBS=-L/usr/local/lib -lfreetype -lpng16 -lz -ltiff -ljpeg -ljpeg ** libs using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I./agg/include -I/usr/local/include/freetype2 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/libpng16 -I/usr/include/x86_64-linux-gnu -I'/home/omnipath/local/R/4.3-3.17/systemfonts/include' -I'/home/omnipath/local/R/4.3-3.17/textshaping/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c capture_dev.cpp -o capture_dev.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I./agg/include -I/usr/local/include/freetype2 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/libpng16 -I/usr/include/x86_64-linux-gnu -I'/home/omnipath/local/R/4.3-3.17/systemfonts/include' -I'/home/omnipath/local/R/4.3-3.17/textshaping/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.cpp -o init.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I./agg/include -I/usr/local/include/freetype2 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/libpng16 -I/usr/include/x86_64-linux-gnu -I'/home/omnipath/local/R/4.3-3.17/systemfonts/include' -I'/home/omnipath/local/R/4.3-3.17/textshaping/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c jpeg_dev.cpp -o jpeg_dev.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I./agg/include -I/usr/local/include/freetype2 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/libpng16 -I/usr/include/x86_64-linux-gnu -I'/home/omnipath/local/R/4.3-3.17/systemfonts/include' -I'/home/omnipath/local/R/4.3-3.17/textshaping/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c png_dev.cpp -o png_dev.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I./agg/include -I/usr/local/include/freetype2 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/libpng16 -I/usr/include/x86_64-linux-gnu -I'/home/omnipath/local/R/4.3-3.17/systemfonts/include' -I'/home/omnipath/local/R/4.3-3.17/textshaping/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c ppm_dev.cpp -o ppm_dev.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I./agg/include -I/usr/local/include/freetype2 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/libpng16 -I/usr/include/x86_64-linux-gnu -I'/home/omnipath/local/R/4.3-3.17/systemfonts/include' -I'/home/omnipath/local/R/4.3-3.17/textshaping/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c tiff_dev.cpp -o tiff_dev.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I./agg/include -I/usr/local/include/freetype2 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/libpng16 -I/usr/include/x86_64-linux-gnu -I'/home/omnipath/local/R/4.3-3.17/systemfonts/include' -I'/home/omnipath/local/R/4.3-3.17/textshaping/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c agg/src/agg_curves.cpp -o agg/src/agg_curves.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I./agg/include -I/usr/local/include/freetype2 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/libpng16 -I/usr/include/x86_64-linux-gnu -I'/home/omnipath/local/R/4.3-3.17/systemfonts/include' -I'/home/omnipath/local/R/4.3-3.17/textshaping/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c agg/src/agg_font_freetype.cpp -o agg/src/agg_font_freetype.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I./agg/include -I/usr/local/include/freetype2 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/libpng16 -I/usr/include/x86_64-linux-gnu -I'/home/omnipath/local/R/4.3-3.17/systemfonts/include' -I'/home/omnipath/local/R/4.3-3.17/textshaping/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c agg/src/agg_image_filters.cpp -o agg/src/agg_image_filters.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I./agg/include -I/usr/local/include/freetype2 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/libpng16 -I/usr/include/x86_64-linux-gnu -I'/home/omnipath/local/R/4.3-3.17/systemfonts/include' -I'/home/omnipath/local/R/4.3-3.17/textshaping/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c agg/src/agg_trans_affine.cpp -o agg/src/agg_trans_affine.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I./agg/include -I/usr/local/include/freetype2 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/libpng16 -I/usr/include/x86_64-linux-gnu -I'/home/omnipath/local/R/4.3-3.17/systemfonts/include' -I'/home/omnipath/local/R/4.3-3.17/textshaping/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c agg/src/agg_vcgen_dash.cpp -o agg/src/agg_vcgen_dash.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I./agg/include -I/usr/local/include/freetype2 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/libpng16 -I/usr/include/x86_64-linux-gnu -I'/home/omnipath/local/R/4.3-3.17/systemfonts/include' -I'/home/omnipath/local/R/4.3-3.17/textshaping/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c agg/src/agg_vcgen_stroke.cpp -o agg/src/agg_vcgen_stroke.o ar rcs agg/libstatagg.a agg/src/agg_curves.o agg/src/agg_font_freetype.o agg/src/agg_image_filters.o agg/src/agg_trans_affine.o agg/src/agg_vcgen_dash.o agg/src/agg_vcgen_stroke.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o ragg.so capture_dev.o init.o jpeg_dev.o png_dev.o ppm_dev.o tiff_dev.o -Lagg -lstatagg -L/usr/local/lib -lfreetype -lpng16 -lz -ltiff -ljpeg -ljpeg -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-ragg/00new/ragg/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ragg) * installing *source* package ‘R.utils’ ... ** package ‘R.utils’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Warning in setGenericS3.default(name, export = exportGeneric, envir = envir, : Renamed the preexisting function warnings to warnings.default, which was defined in environment R.utils. ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (R.utils) * installing *source* package ‘viper’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (viper) * installing *source* package ‘glmnet’ ... ** package ‘glmnet’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using Fortran compiler: ‘GNU Fortran (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++17 g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:397, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:377, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter, 0, Eigen::Stride<0, 0> > >’ RcppExports.cpp:25:87: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ RcppExports.cpp:26:87: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ RcppExports.cpp:26:87: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ RcppExports.cpp:26:87: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ RcppExports.cpp:47:170: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ RcppExports.cpp:47:170: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ RcppExports.cpp:59:98: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ RcppExports.cpp:59:98: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ RcppExports.cpp:59:98: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ gfortran -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -c coxnet5dpclean.f -o coxnet5dpclean.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c elnet_exp.cpp -o elnet_exp.o In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:397, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:377, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:10: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:38: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:48: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ elnet_exp.cpp:44:5: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ elnet_exp.cpp:44:5: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ elnet_exp.cpp:98:5: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ elnet_exp.cpp:98:5: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ elnet_exp.cpp:98:5: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:433:27: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:437:43: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:437:43: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:293:30: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:33: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:39: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:39: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/base.hpp:12:36: required from ‘void glmnetpp::ElnetDriverBase::normalize_penalty(VType&&) const [with VType = Eigen::Matrix&]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:402:36: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:16:34: required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:16:42: required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:36: required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:37:33: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:37:42: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:52:26: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:74:56: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:74:41: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:88:48: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:88:35: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:430:16: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::DenseBase::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:433:31: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl >, -1, 1, true, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:29: required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:339:36: required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:339:55: required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:44: required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:53: required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block >, -1, 1, true>, const Eigen::Block >, -1, 1, true> > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, -1, 1, true>, const Eigen::Block >, -1, 1, true>, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block >, -1, 1, true>, const Eigen::Block >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:276:41: required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Eigen::DenseBase::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:294:37: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Eigen::DenseBase::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:294:37: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:48: required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:57: required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:399:49: required from ‘static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; YMType = Eigen::Matrix; YSType = Eigen::Matrix; XVType = Eigen::Matrix; ValueType = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:435:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:46: required from ‘bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:48: required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:46: required from ‘bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:48: required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8: required from ‘struct Eigen::internal::evaluator > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:478:43: required from ‘struct Eigen::internal::unary_evaluator >, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1004:8: required from ‘struct Eigen::internal::block_evaluator >, -1, 1, true, false>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:952:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Block >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:36: required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Block >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:36: required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:293:37: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:125:43: required from ‘static void glmnetpp::Standardize::eval(XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:46:24: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:87:23: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:343:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:149:16: required from ‘auto glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:344:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:149:16: required from ‘auto glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:59: required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:96:31: required from ‘struct glmnetpp::SpElnetPointInternal::type::cov, double, int, bool>’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from ‘struct glmnetpp::ElnetPointCRTPBase::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:159:16: required from ‘auto glmnetpp::SpElnetPath::type::cov, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::cov, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:173:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:63: required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:525:41: required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:473:36: required from ‘static void glmnetpp::LStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:303:36: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:400:33: required from ‘static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; YMType = Eigen::Matrix; YSType = Eigen::Matrix; XVType = Eigen::Matrix; ValueType = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:435:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:296:29: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:176:22: required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, false>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:34: required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false> >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, true>, -1, 1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, -1, 1, true>, -1, 1, false> >’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:45: required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:29: required from ‘void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:36: required from ‘void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:31: required from ‘void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:52: required from ‘void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:16: required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:28: required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:34: required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 1, -1, false> >’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:27: required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:163:21: required from ‘Eigen::SparseCompressedBase::InnerIterator::InnerIterator(const Eigen::SparseCompressedBase&, Eigen::Index) [with Derived = Eigen::Map >; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:514:129: required from ‘Eigen::internal::unary_evaluator, Eigen::internal::IteratorBased>::InnerVectorInnerIterator::InnerVectorInnerIterator(const Eigen::internal::unary_evaluator, Eigen::internal::IteratorBased>&, Eigen::Index) [with ArgType = const Eigen::Map >; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true; typename Eigen::Block::Scalar = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:30:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Block >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:36: required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:30: required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67: required from ‘Derived& Eigen::ArrayBase::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 1, -1, false> >; Eigen::ArrayBase::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:30: required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:70:47: required from ‘glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t&, IAType&, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalPoissonBase; typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:70:50: required from ‘glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t&, IAType&, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalPoissonBase; typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:82:44: required from ‘glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t&, IAType&, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalPoissonBase; typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:88:40: required from ‘glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t&, IAType&, typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalPoissonBase; typename glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:86:50: required from ‘glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t&, IAType&, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalPoissonBase; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:108:58: required from ‘glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t&, IAType&, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalPoissonBase; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:108:41: required from ‘glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t&, IAType&, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalPoissonBase; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:185:73: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:225:33: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:185:86: required from ‘auto glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::prediction() const [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_base.hpp:140:40: required from ‘void glmnetpp::ElnetPathPoissonBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:225:33: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:22: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_abs_grad(typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:62:54: required from ‘glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t&, IAType&, YType&, const WType&, const XType&, const XMType&, const XSType&, const XVType&, const VPType&, const CLType&, const JUType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; YType = Eigen::Matrix; WType = Eigen::Matrix; XType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:38: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_abs_grad(typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:62:54: required from ‘glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t&, IAType&, YType&, const WType&, const XType&, const XMType&, const XSType&, const XVType&, const VPType&, const CLType&, const JUType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; YType = Eigen::Matrix; WType = Eigen::Matrix; XType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:88:29: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:88:41: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:47: required from ‘static typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::compute_xv(const XType&, const WType&) [with XType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:71:52: required from ‘glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t&, IAType&, const GType&, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:336:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:340:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:340:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:22: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:31: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:37: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:23: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:35: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:54: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:47: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:27: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:50: required from ‘void glmnetpp::ElnetPointInternalBinomialTwoClassBase::construct(XVFType, GradFType) [with XVFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; GradFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:70:24: required from ‘glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t&, IAType&, const GType&, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:355:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:356:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:355:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:356:59: required from ‘void glmnetpp::ElnetPointInternalBinomialTwoClassBase::construct(XVFType, GradFType) [with XVFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; GradFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:70:24: required from ‘glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t&, IAType&, const GType&, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:55: required from ‘typename glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::compute_xv(typename glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::base_t::index_t, const WType&) const [with WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalBinomialMultiClassBase; typename glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:73:51: required from ‘glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::base_t::index_t&, IAType&, GType&, typename glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, ISType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Matrix; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; ISType = Eigen::Matrix; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalBinomialMultiClassBase; typename glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:394:38: required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialMultiClassBase::process_point_fit(const FitPackType&, PathConfigPackType&&, PointConfigPackType&&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1402:44: required from ‘typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::value_t glmnetpp::SpElnetPointInternalBinomialBase::compute_xv(typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::index_t, const WType&) const [with WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::value_t = double; glmnetpp::SpElnetPointInternalBinomialBase::base_t = glmnetpp::ElnetPointInternalStaticBase; typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:76:62: required from ‘glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, bool, typename glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t&, IAType&, const GType&, typename glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t&, const XType&, const YType&, const WType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:56: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:68: required from ‘typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::value_t glmnetpp::SpElnetPointInternalBinomialBase::compute_grad(typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::index_t, const RType&, const VType&) const [with RType = Eigen::Matrix; VType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::value_t = double; glmnetpp::SpElnetPointInternalBinomialBase::base_t = glmnetpp::ElnetPointInternalStaticBase; typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:77:64: required from ‘glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, bool, typename glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t&, IAType&, const GType&, typename glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t&, const XType&, const YType&, const WType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:130:48: required from ‘typename glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::base_t::state_t = glmnetpp::util::control_flow; glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:163:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >; glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:161:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:136:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:64: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:139:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:137:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:161:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:168:65: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t = glmnetpp::util::control_flow; glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalPoissonBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:66: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t = glmnetpp::util::control_flow; glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalPoissonBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:171:78: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t = glmnetpp::util::control_flow; glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalPoissonBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:171:84: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:169:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:125:43: required from ‘static void glmnetpp::Standardize::eval(XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:46:24: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:87:23: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:59: required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:478:43: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1004:8: required from ‘struct Eigen::internal::block_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true, false>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:952:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:568:53: required from ‘struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:354:8: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:46: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:63: required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:525:41: required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:473:36: required from ‘static void glmnetpp::LStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:303:36: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base >, -1, 1, true>, -1, 1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:69: required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base >, -1, 1, true>, -1, 1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:69: required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:65: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(typename glmnetpp::ElnetPointInternalBinomialMultiBase::base_t::index_t, RType&&) [with RType = Eigen::Block, -1, 1, true>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiBase::base_t::index_t = int; glmnetpp::ElnetPointInternalBinomialMultiBase::base_t = glmnetpp::ElnetPointInternalBinomialBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1166:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:589:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 1, -1, false> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:598:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:39: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:45: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:54: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:661:34: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true> >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:603:65: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:603:47: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:48: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:51: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:79: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:605:60: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:55: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:37: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:65: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1206:37: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t, typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t = double; glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:44: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t, typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t = double; glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:26: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t, typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t = double; glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1206:39: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t, typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t = double; glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:57: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t, typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t = double; glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:47: required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t = glmnetpp::util::control_flow; glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:77: required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t = glmnetpp::util::control_flow; glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:83: required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t = glmnetpp::util::control_flow; glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:53: required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t = glmnetpp::util::control_flow; glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:79: required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t = glmnetpp::util::control_flow; glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:85: required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t = glmnetpp::util::control_flow; glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:113:48: required from ‘glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&):: [with auto:43 = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:904:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1381:42: required from ‘void glmnetpp::SpElnetPointInternalBinomialBase::update_with_new_weights(typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::index_t, const VType&, typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::index_t, typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::value_t, typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::value_t&) [with VType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::index_t = int; glmnetpp::SpElnetPointInternalBinomialBase::base_t = glmnetpp::ElnetPointInternalStaticBase; typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:121:55: required from ‘void glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::setup_wls(const PointPackType&) [with PointPackType = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:179:28: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:43: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Matrix&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:164:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >; glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:40: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Matrix&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:164:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >; glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:137:50: required from ‘glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&):: [with auto:50 = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:904:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:101:54: required from ‘glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&):::: [with auto:65 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::; SkipPolicy = glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:100:51: required from ‘glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t&, IAType&, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalPoissonBase; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_multi.hpp:83:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_multi.hpp:83:38: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:400:33: required from ‘static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; YMType = Eigen::Matrix; YSType = Eigen::Matrix; XVType = Eigen::Matrix; ValueType = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:435:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:37: required from ‘void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from ‘void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:435:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:40: required from ‘void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from ‘void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:435:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:55: required from ‘void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21: required from ‘typename glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_abs_grad(typename glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianMultiBase; typename glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:68:81: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from ‘void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:435:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:43: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Block, -1, 1, true>&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:40: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Block, -1, 1, true>&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:643:34: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename glmnetpp::ElnetPointInternalBinomialMultiBase::base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiBase::base_t::value_t = double; glmnetpp::ElnetPointInternalBinomialMultiBase::base_t = glmnetpp::ElnetPointInternalBinomialBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:645:81: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename glmnetpp::ElnetPointInternalBinomialMultiBase::base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiBase::base_t::value_t = double; glmnetpp::ElnetPointInternalBinomialMultiBase::base_t = glmnetpp::ElnetPointInternalBinomialBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:647:65: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename glmnetpp::ElnetPointInternalBinomialMultiBase::base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiBase::base_t::value_t = double; glmnetpp::ElnetPointInternalBinomialMultiBase::base_t = glmnetpp::ElnetPointInternalBinomialBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:648:53: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename glmnetpp::ElnetPointInternalBinomialMultiBase::base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiBase::base_t::value_t = double; glmnetpp::ElnetPointInternalBinomialMultiBase::base_t = glmnetpp::ElnetPointInternalBinomialBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1007:53: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename glmnetpp::ElnetPointInternalBinomialMultiClassBase::base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiClassBase::base_t::value_t = double; glmnetpp::ElnetPointInternalBinomialMultiClassBase::base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:30: required from ‘glmnetpp::ElnetPointInternalBinomialMultiClassBase::update_irls::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, auto:42&)>, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, auto:42&)>, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>):: [with auto:34 = int]’ /usr/include/c++/11/bits/stl_algo.h:3820:5: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 1, -1, false> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:49: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename glmnetpp::ElnetPointInternalBinomialMultiClassBase::base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiClassBase::base_t::value_t = double; glmnetpp::ElnetPointInternalBinomialMultiClassBase::base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:30: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:51: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename glmnetpp::ElnetPointInternalBinomialMultiClassBase::base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiClassBase::base_t::value_t = double; glmnetpp::ElnetPointInternalBinomialMultiClassBase::base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:30: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:59: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename glmnetpp::ElnetPointInternalBinomialMultiClassBase::base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiClassBase::base_t::value_t = double; glmnetpp::ElnetPointInternalBinomialMultiClassBase::base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:30: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:84:33: required from ‘void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::update_resid(typename glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:39:27: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from ‘void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:435:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, 1, -1, false>, 1, -1, false>; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:35: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::Map >; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:163:21: required from ‘Eigen::SparseCompressedBase::InnerIterator::InnerIterator(const Eigen::SparseCompressedBase&, Eigen::Index) [with Derived = Eigen::Map >; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:514:129: required from ‘Eigen::internal::unary_evaluator, Eigen::internal::IteratorBased>::InnerVectorInnerIterator::InnerVectorInnerIterator(const Eigen::internal::unary_evaluator, Eigen::internal::IteratorBased>&, Eigen::Index) [with ArgType = const Eigen::Map >; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true; typename Eigen::Block::Scalar = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:30:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Block >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:36: required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator >, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:598:51: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:124:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:124:52: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:531:48: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&, typename glmnetpp::ElnetPointInternalBinomialMultiBase::base_t::value_t) [with RType = Eigen::Block, -1, 1, true>&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiBase::base_t::value_t = double; glmnetpp::ElnetPointInternalBinomialMultiBase::base_t = glmnetpp::ElnetPointInternalBinomialBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:546:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:647:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:155:52: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:156:37: required from ‘void glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::compute_grad(typename glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::base_t::index_t, DestType&&) const [with DestType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:162:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:86:30: required from ‘glmnetpp::ElnetPointCRTPBase::state_t glmnetpp::ElnetPointCRTPBase::update(typename glmnetpp::details::traits::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >; glmnetpp::ElnetPointCRTPBase::state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits::internal_t::index_t = int; glmnetpp::ElnetPointCRTPBase::internal_t = glmnetpp::ElnetPointInternal::type::multi, double, int, bool>]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:62:53: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:55: required from ‘void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t = int; glmnetpp::ElnetPointInternalGaussianMultiBase::base_t = glmnetpp::ElnetPointInternalGaussianBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:85: required from ‘void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t = int; glmnetpp::ElnetPointInternalGaussianMultiBase::base_t = glmnetpp::ElnetPointInternalGaussianBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: required from ‘typename glmnetpp::ElnetPointGaussianBase::base_t::state_t glmnetpp::ElnetPointGaussianBase::update(typename glmnetpp::ElnetPointGaussianBase::base_t::index_t, const PointPackType&, DiffType&&) [with typename glmnetpp::ElnetPointGaussianBase::base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >; typename glmnetpp::ElnetPointGaussianBase::base_t::state_t = glmnetpp::util::control_flow; glmnetpp::ElnetPointGaussianBase::base_t = glmnetpp::ElnetPointCRTPBase::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> > >; typename glmnetpp::ElnetPointGaussianBase::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:37:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:38: required from ‘void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t = int; glmnetpp::ElnetPointInternalGaussianMultiBase::base_t = glmnetpp::ElnetPointInternalGaussianBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator >, -1, 1, true> >, Eigen::internal::IndexBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from ‘void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:435:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:88:35: required from ‘static auto glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::compute_sp_cov(const X1Type&, const X2Type&, const WType&, typename glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::base_t::value_t) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianCovBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:65:42: required from ‘void glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::update_active(typename glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::base_t::index_t) [with ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianCovBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:81:44: required from ‘glmnetpp::ElnetPointCRTPBase::state_t glmnetpp::ElnetPointCRTPBase::update(typename glmnetpp::details::traits::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >; glmnetpp::ElnetPointCRTPBase::state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits::internal_t::index_t = int; glmnetpp::ElnetPointCRTPBase::internal_t = glmnetpp::SpElnetPointInternal::type::cov, double, int, bool>]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:62:53: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::cov, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:173:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:103:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:101:57: required from ‘void glmnetpp::ElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::setup_wls(const PointPackType&) [with PointPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:179:28: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:91:45: required from ‘void glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::update_resid(typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:91:72: required from ‘void glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::update_resid(typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from ‘typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::index_t, const PointConfigPack&, DiffType&&) [with typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t = glmnetpp::util::control_flow; glmnetpp::ElnetPointNonLinearCRTPBase::base_t = glmnetpp::ElnetPointCRTPBase::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> > >; typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1208:43: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t, typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::value_t = double; glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:86:30: required from ‘glmnetpp::ElnetPointCRTPBase::state_t glmnetpp::ElnetPointCRTPBase::update(typename glmnetpp::details::traits::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPointCRTPBase::state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits::internal_t::index_t = int; glmnetpp::ElnetPointCRTPBase::internal_t = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:127:53: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:82:43: required from ‘void glmnetpp::ElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::update_resid(typename glmnetpp::ElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::ElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:270:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:140:39: required from ‘void glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_resid(typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalPoissonBase; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from ‘typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::index_t, const PointConfigPack&, DiffType&&) [with typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t = glmnetpp::util::control_flow; glmnetpp::ElnetPointNonLinearCRTPBase::base_t = glmnetpp::ElnetPointCRTPBase::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> > >; typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::update(typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::index_t, const PointConfigPack&) [with typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::index_t = int; glmnetpp::ElnetPointNonLinearCRTPBase::base_t = glmnetpp::ElnetPointCRTPBase::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> > >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:321:55: required from ‘void glmnetpp::ElnetPointInternalBaseViewer::update_dlx(const Eigen::MatrixBase&, typename glmnetpp::ElnetPointInternalBaseViewer::base_t::value_t) [with T = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBaseViewer::base_t::value_t = double; glmnetpp::ElnetPointInternalBaseViewer::base_t = glmnetpp::ElnetPointInternalStaticBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:578:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:142:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:322:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:405:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename glmnetpp::ElnetPointInternalGaussianNaiveBase::base_t::value_t, const XType&) [with RType = Eigen::Matrix&; XType = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalGaussianNaiveBase::base_t::value_t = double; glmnetpp::ElnetPointInternalGaussianNaiveBase::base_t = glmnetpp::ElnetPointInternalGaussianUniBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:89:39: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 1, -1, false> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:219:37: required from ‘static constexpr bool glmnetpp::ElnetPointInternalStaticBase::equal(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T1 = Eigen::Matrix; T2 = Eigen::Transpose, 1, -1, false> >; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:75:24: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename glmnetpp::ElnetPointInternalGaussianNaiveBase::base_t::value_t, const XType&) [with RType = Eigen::Block, -1, 1, true>; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalGaussianNaiveBase::base_t::value_t = double; glmnetpp::ElnetPointInternalGaussianNaiveBase::base_t = glmnetpp::ElnetPointInternalGaussianUniBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:80:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename glmnetpp::ElnetPointInternalGaussianNaiveBase::base_t::value_t, const XType&) [with RType = Eigen::Block, -1, 1, true>; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalGaussianNaiveBase::base_t::value_t = double; glmnetpp::ElnetPointInternalGaussianNaiveBase::base_t = glmnetpp::ElnetPointInternalGaussianUniBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:91:43: required from ‘void glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::update_resid(typename glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from ‘typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::index_t, const PointConfigPack&, DiffType&&) [with typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t = glmnetpp::util::control_flow; glmnetpp::ElnetPointNonLinearCRTPBase::base_t = glmnetpp::ElnetPointCRTPBase::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> > >; typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/binomial_multi_class_group.hpp:34:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename glmnetpp::ElnetPointInternalGaussianNaiveBase::base_t::value_t, const XType&) [with RType = Eigen::Matrix&; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalGaussianNaiveBase::base_t::value_t = double; glmnetpp::ElnetPointInternalGaussianNaiveBase::base_t = glmnetpp::ElnetPointInternalGaussianUniBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:138:39: required from ‘void glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_resid(typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalPoissonBase; typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from ‘typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::index_t, const PointConfigPack&, DiffType&&) [with typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t = glmnetpp::util::control_flow; glmnetpp::ElnetPointNonLinearCRTPBase::base_t = glmnetpp::ElnetPointCRTPBase::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> > >; typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:326:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:31: required from ‘static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t, AType&&, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, GCurrType&&, GNextType&&, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Block, -1, 1, true>; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradFType = glmnetpp::ElnetPointInternal::type::multi, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack&)::::index_t, auto:22&)>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t = int; glmnetpp::ElnetPointInternalGaussianMultiBase::base_t = glmnetpp::ElnetPointInternalGaussianBase; typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:617:20: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:25: required from ‘static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t, AType&&, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, GCurrType&&, GNextType&&, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Block, -1, 1, true>; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradFType = glmnetpp::ElnetPointInternal::type::multi, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack&)::::index_t, auto:22&)>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t = int; glmnetpp::ElnetPointInternalGaussianMultiBase::base_t = glmnetpp::ElnetPointInternalGaussianBase; typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:617:20: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:570:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:92: required from ‘void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t = int; glmnetpp::ElnetPointInternalGaussianMultiBase::base_t = glmnetpp::ElnetPointInternalGaussianBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: required from ‘typename glmnetpp::ElnetPointGaussianBase::base_t::state_t glmnetpp::ElnetPointGaussianBase::update(typename glmnetpp::ElnetPointGaussianBase::base_t::index_t, const PointPackType&, DiffType&&) [with typename glmnetpp::ElnetPointGaussianBase::base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >; typename glmnetpp::ElnetPointGaussianBase::base_t::state_t = glmnetpp::util::control_flow; glmnetpp::ElnetPointGaussianBase::base_t = glmnetpp::ElnetPointCRTPBase::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> > >; typename glmnetpp::ElnetPointGaussianBase::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:37:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:31: required from ‘static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t, AType&&, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, GCurrType&&, GNextType&&, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Transpose, 1, -1, false> >; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_beta::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)> >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>&)::; GradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t = int; glmnetpp::ElnetPointInternalGaussianMultiBase::base_t = glmnetpp::ElnetPointInternalGaussianBase; typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1187:38: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:25: required from ‘static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t, AType&&, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, GCurrType&&, GNextType&&, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t, typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Transpose, 1, -1, false> >; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_beta::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)> >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>&)::; GradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t = int; glmnetpp::ElnetPointInternalGaussianMultiBase::base_t = glmnetpp::ElnetPointInternalGaussianBase; typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1187:38: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:499, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Eigen::internal::generic_product_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1024>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:194:60: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; int ProductType = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:194:83: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:214:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:499, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Eigen::internal::generic_product_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:321:66: required from ‘void glmnetpp::ElnetPointInternalBaseViewer::update_dlx(const Eigen::MatrixBase&, typename glmnetpp::ElnetPointInternalBaseViewer::base_t::value_t) [with T = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalBaseViewer::base_t::value_t = double; glmnetpp::ElnetPointInternalBaseViewer::base_t = glmnetpp::ElnetPointInternalStaticBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:578:27: required from ‘void glmnetpp::ElnetPointInternalGaussianMultiBase::update_dlx(typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename glmnetpp::ElnetPointInternalGaussianMultiBase::base_t::index_t = int; glmnetpp::ElnetPointInternalGaussianMultiBase::base_t = glmnetpp::ElnetPointInternalGaussianBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:87:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_cov.hpp:55:65: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:49:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Transpose, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:703:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:371, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:263:43: required from ‘Index Eigen::internal::blas_data_mapper::firstAligned(Index) const [with Scalar = const double; Index = long int; int StorageOrder = 0; int AlignmentType = 0]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:40: required from ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Eigen::internal::generic_product_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:381:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 1, -1, false>; ResultType = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:23: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ elnet_exp.cpp:158:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c glmnet_init.cpp -o glmnet_init.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c internal.cpp -o internal.o In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:397, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from internal.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:377, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from internal.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from internal.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from internal.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from internal.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from internal.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from internal.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from internal.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from internal.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c pb.c -o pb.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c pb_exp.cpp -o pb_exp.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c wls_exp.cpp -o wls_exp.o In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:397, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:377, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:10: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:38: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:48: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ wls_exp.cpp:40:5: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ wls_exp.cpp:40:5: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8: required from ‘struct glmnetpp::ElnetPointInternalGaussianWLSBase’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8: required from ‘struct glmnetpp::ElnetPointInternal::type::wls, double, int, int>’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from ‘struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from ‘struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from ‘struct glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >’ wls_exp.cpp:52:17: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8: required from ‘struct glmnetpp::ElnetPointInternalGaussianWLSBase’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8: required from ‘struct glmnetpp::ElnetPointInternal::type::wls, double, int, int>’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from ‘struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from ‘struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from ‘struct glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >’ wls_exp.cpp:52:17: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8: required from ‘struct glmnetpp::ElnetPointInternalGaussianWLSBase’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8: required from ‘struct glmnetpp::ElnetPointInternal::type::wls, double, int, int>’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from ‘struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from ‘struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from ‘struct glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >’ wls_exp.cpp:52:17: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ wls_exp.cpp:113:5: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ wls_exp.cpp:113:5: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ wls_exp.cpp:113:5: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:150:32: required from ‘struct glmnetpp::SpElnetPointInternal::type::wls, double, int, int>’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from ‘struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from ‘struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from ‘struct glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >’ glmnetpp/include/glmnetpp_bits/elnet_point/sp_gaussian_wls.hpp:7:8: required from ‘struct glmnetpp::SpElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >’ wls_exp.cpp:125:17: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:22: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, AType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, GType&, IAType&, IYType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, MMType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:31: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, AType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, GType&, IAType&, IYType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, MMType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:40: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, AType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, GType&, IAType&, IYType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, MMType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:49: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, AType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, GType&, IAType&, IYType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, MMType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:28: required from ‘typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from ‘glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, AType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, GType&, IAType&, IYType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, MMType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:44: required from ‘typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from ‘glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, AType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, GType&, IAType&, IYType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, MMType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:478:43: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1004:8: required from ‘struct Eigen::internal::block_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true, false>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:952:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:336:8: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:59: required from ‘typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from ‘glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, AType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, GType&, IAType&, IYType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, MMType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:409:54: required from ‘struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:336:8: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:59: required from ‘typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from ‘glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, AType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, GType&, IAType&, IYType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, MMType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, AType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, GType&, IAType&, IYType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, MMType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: required from ‘static auto glmnetpp::ElnetPointInternalStaticBase::compute_grad(const RType&, const XType&) [with RType = Eigen::Map >; XType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:118:36: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_grad(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:123:25: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_abs_grad(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:75:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, AType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, GType&, IAType&, IYType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, MMType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map >; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:83:33: required from ‘glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, AType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, GType&, IAType&, IYType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, MMType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, AType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, GType&, IAType&, IYType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, MMType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:55:24: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:94:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:55:24: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:928:52: required from ‘auto glmnetpp::ElnetPointInternalGaussianWLSBase::update_intercept(typename glmnetpp::ElnetPointInternalGaussianWLSBase::base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternalGaussianWLSBase::base_t::value_t = double; glmnetpp::ElnetPointInternalGaussianWLSBase::base_t = glmnetpp::ElnetPointInternalBaseViewer]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:99:33: required from ‘void glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_intercept() [with ValueType = double; IndexType = int; BoolType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:55:31: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:55:24: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:928:52: required from ‘auto glmnetpp::ElnetPointInternalGaussianWLSBase::update_intercept(typename glmnetpp::ElnetPointInternalGaussianWLSBase::base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternalGaussianWLSBase::base_t::value_t = double; glmnetpp::ElnetPointInternalGaussianWLSBase::base_t = glmnetpp::ElnetPointInternalBaseViewer]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:99:33: required from ‘void glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_intercept() [with ValueType = double; IndexType = int; BoolType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:55:31: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:55:24: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:23: required from ‘void glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_resid(typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::update(typename glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::base_t::index_t, const PointPackType&) [with typename glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>; typename glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::base_t::index_t = int; glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::base_t = glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:128:24: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:39: required from ‘void glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_resid(typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::update(typename glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::base_t::index_t, const PointPackType&) [with typename glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>; typename glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::base_t::index_t = int; glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::base_t = glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:128:24: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename glmnetpp::ElnetPointInternalGaussianNaiveBase::base_t::value_t, const XType&) [with RType = Eigen::Map >&; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternalGaussianNaiveBase::base_t::value_t = double; glmnetpp::ElnetPointInternalGaussianNaiveBase::base_t = glmnetpp::ElnetPointInternalGaussianUniBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:92:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:55:24: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename glmnetpp::ElnetPointInternalGaussianNaiveBase::base_t::value_t, const XType&) [with RType = Eigen::Map >&; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternalGaussianNaiveBase::base_t::value_t = double; glmnetpp::ElnetPointInternalGaussianNaiveBase::base_t = glmnetpp::ElnetPointInternalGaussianUniBase]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:109:39: required from ‘void glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_resid(typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int; glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::update(typename glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::base_t::index_t, const PointPackType&) [with typename glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>; typename glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::base_t::index_t = int; glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::base_t = glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:128:24: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, AType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, GType&, IAType&, IYType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, MMType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: required from ‘static auto glmnetpp::ElnetPointInternalStaticBase::compute_grad(const RType&, const XType&) [with RType = Eigen::Map >; XType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:118:36: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_grad(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:123:25: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_abs_grad(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:75:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, AType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, GType&, IAType&, IYType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, MMType&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7: required from ‘Eigen::CwiseBinaryOpImpl::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Rhs = const Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:105:49: required from ‘Eigen::CwiseBinaryOp::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op; LhsType = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; RhsType = const Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::CwiseBinaryOp::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Eigen::CwiseBinaryOp::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:693:62: required from ‘const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType::Type Eigen::SparseMatrixBase::cwiseProduct(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType::Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:128:24: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:35: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:163:21: required from ‘Eigen::SparseCompressedBase::InnerIterator::InnerIterator(const Eigen::SparseCompressedBase&, Eigen::Index) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:514:129: required from ‘Eigen::internal::unary_evaluator, Eigen::internal::IteratorBased>::InnerVectorInnerIterator::InnerVectorInnerIterator(const Eigen::internal::unary_evaluator, Eigen::internal::IteratorBased>&, Eigen::Index) [with ArgType = const Eigen::Map, 0, Eigen::Stride<0, 0> >; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true; typename Eigen::Block::Scalar = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:30:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:134:42: required from ‘typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from ‘glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t, AType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, GType&, IAType&, IYType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, MMType&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t&, typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t = double; glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::index_t = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:55:24: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map >; Eigen::DenseBase::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map >]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:143:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]’ wls_exp.cpp:128:24: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o glmnet.so RcppExports.o coxnet5dpclean.o elnet_exp.o glmnet_init.o internal.o pb.o pb_exp.o wls_exp.o -lgfortran -lm -lquadmath -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-glmnet/00new/glmnet/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (glmnet) * installing *source* package ‘spatstat.random’ ... ** package ‘spatstat.random’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c Perfect.cc -o Perfect.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c areaint.c -o areaint.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c badgey.c -o badgey.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c dgs.c -o dgs.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c diggra.c -o diggra.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c dist2.c -o dist2.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c fexitc.c -o fexitc.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c fiksel.c -o fiksel.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c getcif.c -o getcif.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c geyer.c -o geyer.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c hardcore.c -o hardcore.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.c -o init.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c lennard.c -o lennard.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c lookup.c -o lookup.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c methas.c -o methas.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c mhsnoop.c -o mhsnoop.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c multihard.c -o multihard.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c penttinen.c -o penttinen.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rcauchy.c -o rcauchy.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rmatclus.c -o rmatclus.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rthin.c -o rthin.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rthomas.c -o rthomas.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c rtruncpois.c -o rtruncpois.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c sftcr.c -o sftcr.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c straush.c -o straush.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c straushm.c -o straushm.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c strauss.c -o strauss.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c straussm.c -o straussm.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c triplets.c -o triplets.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o spatstat.random.so Perfect.o areaint.o badgey.o dgs.o diggra.o dist2.o fexitc.o fiksel.o getcif.o geyer.o hardcore.o init.o lennard.o lookup.o methas.o mhsnoop.o multihard.o penttinen.o rcauchy.o rmatclus.o rthin.o rthomas.o rtruncpois.o sftcr.o straush.o straushm.o strauss.o straussm.o triplets.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-spatstat.random/00new/spatstat.random/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (spatstat.random) * installing *source* package ‘beachmat’ ... ** using staged installation ** libs using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++11 g++ -std=gnu++11 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o g++ -std=gnu++11 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c fragment_sparse_rows.cpp -o fragment_sparse_rows.o g++ -std=gnu++11 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o beachmat.so RcppExports.o fragment_sparse_rows.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-beachmat/00new/beachmat/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (beachmat) * installing *source* package ‘ScaledMatrix’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ScaledMatrix) * installing *source* package ‘SummarizedExperiment’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SummarizedExperiment) * installing *source* package ‘SeuratObject’ ... ** package ‘SeuratObject’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:397, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:377, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenWrap.h:155:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ RcppExports.cpp:32:33: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:77:20: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = Eigen::internal::assign_op; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseMatrix; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:842:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:709:13: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenWrap.h:432:24: required from ‘Eigen::SparseMatrix Rcpp::traits::Exporter >::get() [with T = double]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/as.h:89:32: required from ‘T Rcpp::internal::as(SEXP, Rcpp::traits::r_type_generic_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/as.h:152:31: required from ‘T Rcpp::as(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/InputParameter.h:34:43: required from ‘Rcpp::InputParameter::operator T() [with T = Eigen::SparseMatrix]’ RcppExports.cpp:20:55: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:35: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenWrap.h:125:47: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenWrap.h:155:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ RcppExports.cpp:32:33: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c data_manipulation.cpp -o data_manipulation.o In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:397, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:377, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ data_manipulation.cpp:27:22: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ data_manipulation.cpp:33:26: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ data_manipulation.cpp:33:26: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ data_manipulation.cpp:83:80: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:58:63: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::internal::IteratorBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ data_manipulation.cpp:27:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:12: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ data_manipulation.cpp:27:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:29: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ data_manipulation.cpp:93:37: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:73: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ data_manipulation.cpp:27:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:949:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = Eigen::internal::scalar_sum_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:996:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ data_manipulation.cpp:111:31: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:35: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ data_manipulation.cpp:93:37: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c valid_pointer.c -o valid_pointer.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o SeuratObject.so RcppExports.o data_manipulation.o valid_pointer.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-SeuratObject/00new/SeuratObject/libs ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SeuratObject) * installing *source* package ‘sctransform’ ... ** package ‘sctransform’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++17 g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/RcppArmadillo/include' -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/RcppArmadillo/include' -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c utils.cpp -o utils.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o sctransform.so RcppExports.o utils.o -llapack -lblas -lgfortran -lm -lquadmath -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-sctransform/00new/sctransform/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sctransform) * installing *source* package ‘DelayedMatrixStats’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DelayedMatrixStats) * installing *source* package ‘HDF5Array’ ... ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c S4Vectors_stubs.c -o S4Vectors_stubs.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c H5File.c -o H5File.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c global_errmsg_buf.c -o global_errmsg_buf.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c H5DSetDescriptor.c -o H5DSetDescriptor.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c h5dimscales.c -o h5dimscales.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c uaselection.c -o uaselection.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c h5mread_helpers.c -o h5mread_helpers.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c h5mread_startscounts.c -o h5mread_startscounts.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c ChunkIterator.c -o ChunkIterator.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c h5mread_index.c -o h5mread_index.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c h5mread_sparse.c -o h5mread_sparse.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c h5mread.c -o h5mread.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c h5summarize.c -o h5summarize.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/S4Vectors/include' -I'/home/omnipath/local/R/4.3-3.17/Rhdf5lib/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c R_init_HDF5Array.c -o R_init_HDF5Array.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o HDF5Array.so S4Vectors_stubs.o H5File.o global_errmsg_buf.o H5DSetDescriptor.o h5dimscales.o uaselection.o h5mread_helpers.o h5mread_startscounts.o ChunkIterator.o h5mread_index.o h5mread_sparse.o h5mread.o h5summarize.o R_init_HDF5Array.o /home/omnipath/local/R/4.3-3.17/Rhdf5lib/lib/libhdf5_hl.a /home/omnipath/local/R/4.3-3.17/Rhdf5lib/lib/libhdf5.a -lcrypto -lcurl -lsz -laec -lz -ldl -lm -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-HDF5Array/00new/HDF5Array/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (HDF5Array) * installing *source* package ‘OmnipathR’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location [2023-10-21 15:27:04] [INFO] [OmnipathR] Setting up new cache directory `/home/omnipath/.cache/OmnipathR`. [2023-10-21 15:27:04] [TRACE] [OmnipathR] Reading JSON from `/home/omnipath/.cache/OmnipathR/cache.json` (encoding: UTF-8). [2023-10-21 15:27:04] [TRACE] [OmnipathR] JSON validation successful: TRUE [2023-10-21 15:27:04] [INFO] [OmnipathR] Initialized cache: `/home/omnipath/.cache/OmnipathR`. [2023-10-21 15:27:04] [TRACE] [OmnipathR] Running on a build server, wiping cache. [2023-10-21 15:27:04] [TRACE] [OmnipathR] Cache is at `/home/omnipath/.cache/OmnipathR`. [2023-10-21 15:27:04] [TRACE] [OmnipathR] Contains 1 files. [2023-10-21 15:27:04] [TRACE] [OmnipathR] Cache is locked: FALSE. [2023-10-21 15:27:04] [TRACE] [OmnipathR] Reading JSON from `/home/omnipath/.cache/OmnipathR/cache.json` (encoding: UTF-8). [2023-10-21 15:27:04] [TRACE] [OmnipathR] JSON validation successful: TRUE [2023-10-21 15:27:04] [SUCCESS] [OmnipathR] Removing all cache contents from `/home/omnipath/.cache/OmnipathR`. [2023-10-21 15:27:04] [TRACE] [OmnipathR] Pandoc version: `2.9.2.1`. [2023-10-21 15:27:04] [TRACE] [OmnipathR] Reading JSON from `/home/omnipath/local/R/4.3-3.17/00LOCK-OmnipathR/00new/OmnipathR/db/db_def.json` (encoding: UTF-8). [2023-10-21 15:27:04] [TRACE] [OmnipathR] JSON validation successful: TRUE [2023-10-21 15:27:04] [TRACE] [OmnipathR] Reading JSON from `/home/omnipath/local/R/4.3-3.17/00LOCK-OmnipathR/00new/OmnipathR/internal/magic_bytes.json` (encoding: UTF-8). [2023-10-21 15:27:04] [TRACE] [OmnipathR] JSON validation successful: TRUE [2023-10-21 15:27:04] [TRACE] [OmnipathR] Reading JSON from `/home/omnipath/local/R/4.3-3.17/00LOCK-OmnipathR/00new/OmnipathR/internal/urls.json` (encoding: UTF-8). [2023-10-21 15:27:04] [TRACE] [OmnipathR] JSON validation successful: TRUE [2023-10-21 15:27:04] [TRACE] [OmnipathR] Reading JSON from `/home/omnipath/local/R/4.3-3.17/00LOCK-OmnipathR/00new/OmnipathR/internal/id_types.json` (encoding: UTF-8). [2023-10-21 15:27:04] [TRACE] [OmnipathR] JSON validation successful: TRUE [2023-10-21 15:27:04] [TRACE] [OmnipathR] Cache locked: FALSE ** testing if installed package can be loaded from final location [2023-10-21 15:27:05] [TRACE] [OmnipathR] Reading JSON from `/home/omnipath/.cache/OmnipathR/cache.json` (encoding: UTF-8). [2023-10-21 15:27:05] [TRACE] [OmnipathR] JSON validation successful: TRUE [2023-10-21 15:27:05] [INFO] [OmnipathR] Initialized cache: `/home/omnipath/.cache/OmnipathR`. [2023-10-21 15:27:05] [TRACE] [OmnipathR] Running on a build server, wiping cache. [2023-10-21 15:27:05] [TRACE] [OmnipathR] Cache is at `/home/omnipath/.cache/OmnipathR`. [2023-10-21 15:27:05] [TRACE] [OmnipathR] Contains 1 files. [2023-10-21 15:27:05] [TRACE] [OmnipathR] Cache is locked: FALSE. [2023-10-21 15:27:05] [TRACE] [OmnipathR] Reading JSON from `/home/omnipath/.cache/OmnipathR/cache.json` (encoding: UTF-8). [2023-10-21 15:27:05] [TRACE] [OmnipathR] JSON validation successful: TRUE [2023-10-21 15:27:05] [SUCCESS] [OmnipathR] Removing all cache contents from `/home/omnipath/.cache/OmnipathR`. [2023-10-21 15:27:05] [TRACE] [OmnipathR] Pandoc version: `2.9.2.1`. [2023-10-21 15:27:05] [TRACE] [OmnipathR] Reading JSON from `/home/omnipath/local/R/4.3-3.17/OmnipathR/db/db_def.json` (encoding: UTF-8). [2023-10-21 15:27:05] [TRACE] [OmnipathR] JSON validation successful: TRUE [2023-10-21 15:27:05] [TRACE] [OmnipathR] Reading JSON from `/home/omnipath/local/R/4.3-3.17/OmnipathR/internal/magic_bytes.json` (encoding: UTF-8). [2023-10-21 15:27:05] [TRACE] [OmnipathR] JSON validation successful: TRUE [2023-10-21 15:27:05] [TRACE] [OmnipathR] Reading JSON from `/home/omnipath/local/R/4.3-3.17/OmnipathR/internal/urls.json` (encoding: UTF-8). [2023-10-21 15:27:05] [TRACE] [OmnipathR] JSON validation successful: TRUE [2023-10-21 15:27:05] [TRACE] [OmnipathR] Reading JSON from `/home/omnipath/local/R/4.3-3.17/OmnipathR/internal/id_types.json` (encoding: UTF-8). [2023-10-21 15:27:05] [TRACE] [OmnipathR] JSON validation successful: TRUE [2023-10-21 15:27:05] [TRACE] [OmnipathR] Cache locked: FALSE ** testing if installed package keeps a record of temporary installation path * DONE (OmnipathR) * installing *source* package ‘pkgdown’ ... ** package ‘pkgdown’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pkgdown) * installing *source* package ‘spatstat.explore’ ... ** package ‘spatstat.explore’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c Kborder.c -o Kborder.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c Knone.c -o Knone.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c Krect.c -o Krect.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c call3d.c -o call3d.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c corrections.c -o corrections.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c denspt.c -o denspt.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c densptcross.c -o densptcross.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c digber.c -o digber.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c f3.c -o f3.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c g3.c -o g3.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c idw.c -o idw.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c init.c -o init.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c k3.c -o k3.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c localpcf.c -o localpcf.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c loccum.c -o loccum.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c pcf3.c -o pcf3.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c raster.c -o raster.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c scan.c -o scan.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c segdens.c -o segdens.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c sphefrac.c -o sphefrac.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c sphevol.c -o sphevol.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o spatstat.explore.so Kborder.o Knone.o Krect.o call3d.o corrections.o denspt.o densptcross.o digber.o f3.o g3.o idw.o init.o k3.o localpcf.o loccum.o pcf3.o raster.o scan.o segdens.o sphefrac.o sphevol.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-spatstat.explore/00new/spatstat.explore/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (spatstat.explore) * installing *source* package ‘BiocSingular’ ... ** using staged installation ** libs using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++11 g++ -std=gnu++11 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/beachmat/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o g++ -std=gnu++11 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/beachmat/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c compute_scale.cpp -o compute_scale.o g++ -std=gnu++11 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o BiocSingular.so RcppExports.o compute_scale.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-BiocSingular/00new/BiocSingular/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (BiocSingular) * installing *source* package ‘SingleCellExperiment’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SingleCellExperiment) * installing *source* package ‘AUCell’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (AUCell) * installing *source* package ‘Seurat’ ... ** package ‘Seurat’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++ compiler: ‘g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ using C++17 g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -I'/home/omnipath/local/R/4.3-3.17/RcppProgress/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c ModularityOptimizer.cpp -o ModularityOptimizer.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -I'/home/omnipath/local/R/4.3-3.17/RcppProgress/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RModularityOptimizer.cpp -o RModularityOptimizer.o In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:397, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RModularityOptimizer.cpp:9: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:377, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RModularityOptimizer.cpp:9: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RModularityOptimizer.cpp:9: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RModularityOptimizer.cpp:9: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RModularityOptimizer.cpp:9: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RModularityOptimizer.cpp:9: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RModularityOptimizer.cpp:9: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RModularityOptimizer.cpp:9: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RModularityOptimizer.cpp:9: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:29: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ RModularityOptimizer.cpp:65:37: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:35: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ RModularityOptimizer.cpp:65:37: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -I'/home/omnipath/local/R/4.3-3.17/RcppProgress/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c RcppExports.cpp -o RcppExports.o In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:397, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:377, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ RcppExports.cpp:71:105: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ RcppExports.cpp:94:67: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ RcppExports.cpp:94:67: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ RcppExports.cpp:94:67: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ RcppExports.cpp:169:45: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenWrap.h:155:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ RcppExports.cpp:43:33: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:77:20: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = Eigen::internal::assign_op; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseMatrix; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:842:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:709:13: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenWrap.h:432:24: required from ‘Eigen::SparseMatrix Rcpp::traits::Exporter >::get() [with T = double]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/as.h:89:32: required from ‘T Rcpp::internal::as(SEXP, Rcpp::traits::r_type_generic_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/as.h:152:31: required from ‘T Rcpp::as(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/InputParameter.h:34:43: required from ‘Rcpp::InputParameter::operator T() [with T = Eigen::SparseMatrix]’ RcppExports.cpp:29:60: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:77:20: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = Eigen::internal::assign_op; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseMatrix; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:842:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:709:13: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 1; _StorageIndex = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenWrap.h:457:24: required from ‘Eigen::SparseMatrix<_Scalar, 1> Rcpp::traits::Exporter >::get() [with T = double]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/as.h:89:32: required from ‘T Rcpp::internal::as(SEXP, Rcpp::traits::r_type_generic_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/as.h:152:31: required from ‘T Rcpp::as(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/InputParameter.h:34:43: required from ‘Rcpp::InputParameter::operator T() [with T = Eigen::SparseMatrix]’ RcppExports.cpp:71:50: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:35: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenWrap.h:125:47: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenWrap.h:155:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /home/omnipath/local/R/4.3-3.17/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ RcppExports.cpp:43:33: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -I'/home/omnipath/local/R/4.3-3.17/RcppProgress/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c data_manipulation.cpp -o data_manipulation.o In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:397, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:377, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ data_manipulation.cpp:18:21: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ data_manipulation.cpp:18:21: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ data_manipulation.cpp:18:45: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ data_manipulation.cpp:18:71: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ data_manipulation.cpp:18:83: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ data_manipulation.cpp:75:127: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ data_manipulation.cpp:131:88: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ data_manipulation.cpp:131:88: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ data_manipulation.cpp:136:20: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>’ data_manipulation.cpp:136:31: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true> >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, -1, 1, true> >’ data_manipulation.cpp:136:40: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ data_manipulation.cpp:138:32: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ data_manipulation.cpp:138:32: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ data_manipulation.cpp:138:47: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ data_manipulation.cpp:186:50: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ data_manipulation.cpp:187:19: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ data_manipulation.cpp:187:35: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ data_manipulation.cpp:187:40: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ data_manipulation.cpp:187:51: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ data_manipulation.cpp:194:30: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_mean, 0>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_mean, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_mean, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_mean, 0>’ data_manipulation.cpp:229:45: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_mean, 0>, -1, 1>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_mean, 0>, -1, 1> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_mean, 0>, -1, 1> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >’ data_manipulation.cpp:229:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >’ data_manipulation.cpp:229:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ data_manipulation.cpp:231:37: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ data_manipulation.cpp:231:42: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ data_manipulation.cpp:231:70: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ data_manipulation.cpp:231:70: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ data_manipulation.cpp:368:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 1, -1, false> >’ data_manipulation.cpp:368:38: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:29: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ data_manipulation.cpp:95:36: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:58:63: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::internal::IteratorBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ data_manipulation.cpp:150:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:12: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ data_manipulation.cpp:150:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:95:21: required from ‘Eigen::CommaInitializer& Eigen::CommaInitializer::operator,(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; XprType = Eigen::Matrix]’ data_manipulation.cpp:249:17: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:949:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = Eigen::internal::scalar_sum_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:996:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ data_manipulation.cpp:110:31: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:73: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ data_manipulation.cpp:150:23: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ data_manipulation.cpp:409:42: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ data_manipulation.cpp:409:42: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ data_manipulation.cpp:409:42: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ data_manipulation.cpp:409:42: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:468:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ data_manipulation.cpp:137:28: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ data_manipulation.cpp:138:53: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:829:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, 1, -1, false> >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, 1, -1, false> >; Derived = Eigen::Array]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, 1, -1, false> >; Derived = Eigen::Array]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:242:29: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::PrivateType>::type) [with OtherDerived = Eigen::ArrayWrapper >, 1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if >::Scalar>::value, Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::PrivateType>::type = Eigen::Array::PrivateType; typename Eigen::internal::traits >::Scalar = double; typename OtherDerived::Scalar = double]’ data_manipulation.cpp:368:39: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:45:21: required from ‘Eigen::Index Eigen::BlockImpl::nonZeros() const [with XprType = Eigen::Ref, 0, Eigen::OuterStride<> >; int BlockRows = -1; int BlockCols = 1; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:97: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ data_manipulation.cpp:409:42: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:35: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ data_manipulation.cpp:95:36: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator >, -1, 1, true> >, Eigen::internal::IndexBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::ArrayWrapper >, -1, 1, true> >; Functor = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::ArrayWrapper >, -1, 1, true> >; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, -1, 1, true> >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, -1, 1, true> >; Derived = Eigen::Array]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, -1, 1, true> >; Derived = Eigen::Array]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:242:29: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::PrivateType>::type) [with OtherDerived = Eigen::ArrayWrapper >, -1, 1, true> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if >::Scalar>::value, Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::PrivateType>::type = Eigen::Array::PrivateType; typename Eigen::internal::traits >::Scalar = double; typename OtherDerived::Scalar = double]’ data_manipulation.cpp:136:41: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Block, -1, 1, true>]’ data_manipulation.cpp:187:51: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base >, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::ArrayWrapper >, 1, -1, false> >; Functor = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::ArrayWrapper >, 1, -1, false> >; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, 1, -1, false> >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, 1, -1, false> >; Derived = Eigen::Array]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, 1, -1, false> >; Derived = Eigen::Array]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Array.h:242:29: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::PrivateType>::type) [with OtherDerived = Eigen::ArrayWrapper >, 1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if >::Scalar>::value, Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::PrivateType>::type = Eigen::Array::PrivateType; typename Eigen::internal::traits >::Scalar = double; typename OtherDerived::Scalar = double]’ data_manipulation.cpp:368:39: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:581:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1004:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:952:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ data_manipulation.cpp:409:42: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ data_manipulation.cpp:409:42: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:229:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:95:64: required from ‘Eigen::CommaInitializer& Eigen::CommaInitializer::operator,(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; XprType = Eigen::Matrix]’ data_manipulation.cpp:249:17: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:496, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:106:40: required from ‘void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:301:81: required from ‘void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:353:66: required from ‘Eigen::internal::gemm_blocking_space::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:485:18: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 391 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 392 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 393 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:182:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1847 | PacketBlock kernel; | ^~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:193:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = double]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:196:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1537 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1595 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:229:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:468:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:105:1: required from ‘ResultType Eigen::internal::member_mean::operator()(const XprType&) const [with XprType = Eigen::Block, 1, -1, false>; ResultType = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:23: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_mean; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:229:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:468:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:105:1: required from ‘ResultType Eigen::internal::member_mean::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_mean; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:229:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -I'/home/omnipath/local/R/4.3-3.17/RcppProgress/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c fast_NN_dist.cpp -o fast_NN_dist.o g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -I'/home/omnipath/local/R/4.3-3.17/RcppProgress/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c integration.cpp -o integration.o In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:397, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:377, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ integration.cpp:23:1: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ integration.cpp:23:1: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ integration.cpp:23:1: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ integration.cpp:43:41: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ integration.cpp:60:53: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ integration.cpp:60:79: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ integration.cpp:60:99: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ integration.cpp:68:61: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>’ integration.cpp:77:57: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView >’ integration.cpp:83:41: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:140:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ integration.cpp:94:85: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2> > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2> >’ integration.cpp:94:85: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ integration.cpp:140:36: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >’ integration.cpp:140:60: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:12: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ integration.cpp:83:42: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:64:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ integration.cpp:94:85: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:926:66: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = FindWeightsC(Rcpp::NumericVector, Eigen::MatrixXd, std::vector >, std::vector >, Eigen::MatrixXd, Eigen::VectorXd, double, double, bool)::]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1012:103: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&, DupFunctor) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; DupFunctor = FindWeightsC(Rcpp::NumericVector, Eigen::MatrixXd, std::vector >, std::vector >, Eigen::MatrixXd, Eigen::VectorXd, double, double, bool)::; _Scalar = double; int _Options = 0; _StorageIndex = int]’ integration.cpp:59:33: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:29: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:163:21: required from ‘Eigen::SparseCompressedBase::InnerIterator::InnerIterator(const Eigen::SparseCompressedBase&, Eigen::Index) [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ integration.cpp:62:73: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ integration.cpp:140:67: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:949:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = FindWeightsC(Rcpp::NumericVector, Eigen::MatrixXd, std::vector >, std::vector >, Eigen::MatrixXd, Eigen::VectorXd, double, double, bool)::]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1012:103: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&, DupFunctor) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; DupFunctor = FindWeightsC(Rcpp::NumericVector, Eigen::MatrixXd, std::vector >, std::vector >, Eigen::MatrixXd, Eigen::VectorXd, double, double, bool)::; _Scalar = double; int _Options = 0; _StorageIndex = int]’ integration.cpp:59:33: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:73: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ integration.cpp:83:42: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:829:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, -1, false>; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ integration.cpp:43:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ integration.cpp:140:67: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, -1, false>; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ integration.cpp:43:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:35: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:163:21: required from ‘Eigen::SparseCompressedBase::InnerIterator::InnerIterator(const Eigen::SparseCompressedBase&, Eigen::Index) [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ integration.cpp:62:73: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > > >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ integration.cpp:140:67: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ integration.cpp:77:58: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ integration.cpp:77:58: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, -1, 1, true> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ integration.cpp:77:58: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 1, -1, false>; ResultType = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:23: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ integration.cpp:77:58: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Functor = Eigen::internal::assign_op; Weak = void]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Func = Eigen::internal::assign_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ integration.cpp:77:58: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -I'/home/omnipath/local/R/4.3-3.17/RcppProgress/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c snn.cpp -o snn.o In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:397, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:377, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:370, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ snn.cpp:16:79: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ snn.cpp:16:79: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ snn.cpp:27:29: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:140:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ snn.cpp:27:31: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ snn.cpp:106:30: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ snn.cpp:106:48: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator, Eigen::Transpose >, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 2> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ snn.cpp:27:31: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:12: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ snn.cpp:27:31: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/SparseCore:37, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Sparse:26, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:31, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:926:66: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = Eigen::internal::scalar_sum_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:996:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ snn.cpp:26:22: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:29: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:163:21: required from ‘Eigen::SparseCompressedBase::InnerIterator::InnerIterator(const Eigen::SparseCompressedBase&, Eigen::Index) [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ snn.cpp:29:62: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ snn.cpp:106:55: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:949:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = Eigen::internal::scalar_sum_op]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:996:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ snn.cpp:26:22: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:73: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ snn.cpp:27:31: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:445, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ snn.cpp:106:55: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Core:439, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/Dense:1, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigenForward.h:30, from /home/omnipath/local/R/4.3-3.17/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:35: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:163:21: required from ‘Eigen::SparseCompressedBase::InnerIterator::InnerIterator(const Eigen::SparseCompressedBase&, Eigen::Index) [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ snn.cpp:29:62: required from here /home/omnipath/local/R/4.3-3.17/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -I'/home/omnipath/local/R/4.3-3.17/RcppProgress/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c stats.cpp -o stats.o gcc -I"/usr/share/R/include" -DNDEBUG -I'/home/omnipath/local/R/4.3-3.17/Rcpp/include' -I'/home/omnipath/local/R/4.3-3.17/RcppEigen/include' -I'/home/omnipath/local/R/4.3-3.17/RcppProgress/include' -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c valid_pointer.c -o valid_pointer.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o Seurat.so ModularityOptimizer.o RModularityOptimizer.o RcppExports.o data_manipulation.o fast_NN_dist.o integration.o snn.o stats.o valid_pointer.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-Seurat/00new/Seurat/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Seurat) * installing *source* package ‘GSVA’ ... ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’ gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c kernel_estimation.c -o kernel_estimation.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c ks_test.c -o ks_test.o gcc -I"/usr/share/R/include" -DNDEBUG -fpic -g -O2 -ffile-prefix-map=/build/r-base-MHXHhT/r-base-4.3.1=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -c register_cmethods.c -o register_cmethods.o gcc -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -flto=auto -ffat-lto-objects -flto=auto -Wl,-z,relro -o GSVA.so kernel_estimation.o ks_test.o register_cmethods.o -L/usr/lib/R/lib -lR installing to /home/omnipath/local/R/4.3-3.17/00LOCK-GSVA/00new/GSVA/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (GSVA) The downloaded source packages are in ‘/tmp/RtmpnhhOuT/downloaded_packages’ [ Finished: 2023-10-21 15:29:52 CEST ]