downloading reverse dependencies ... downloading AutoScore_1.0.0.tar.gz ... ok downloading boostmtree_1.5.1.tar.gz ... ok downloading cjbart_0.3.2.tar.gz ... ok downloading CoxAIPW_0.0.3.tar.gz ... ok downloading ggRandomForests_2.2.1.tar.gz ... ok downloading glmnetr_0.5-4.tar.gz ... ok downloading precmed_1.1.0.tar.gz ... ok downloading ranktreeEnsemble_0.23.tar.gz ... ok downloading SIMMS_1.3.2.tar.gz ... ok downloading survcompare_0.2.0.tar.gz ... ok downloading survivalSL_0.96.tar.gz ... ok downloading tehtuner_0.3.0.tar.gz ... ok downloading familiar_1.5.0.tar.gz ... ok downloading MachineShop_3.8.0.tar.gz ... ok downloading mlrCPO_0.3.7-7.tar.gz ... ok downloading multipleOutcomes_0.4.tar.gz ... ok downloading PheCAP_1.2.1.tar.gz ... ok downloading riskRegression_2023.12.21.tar.gz ... ok downloading survex_1.2.0.tar.gz ... ok downloading tram_1.2-0.tar.gz ... ok installing dependencies ‘adabag’, ‘aorsf’, ‘asaur’, ‘asht’, ‘ATR’, ‘care’, ‘casebase’, ‘censored’, ‘coxed’, ‘FSelector’, ‘FSelectorRcpp’, ‘glmnetUtils’, ‘hal9001’, ‘harmonicmeanp’, ‘hdnom’, ‘iBST’, ‘imbalance’, ‘invGauss’, ‘isotree’, ‘JM’, ‘joint.Cox’, ‘kernelshap’, ‘laGP’, ‘merDeriv’, ‘mlrMBO’, ‘mlt.docreg’, ‘momentfit’, ‘mRMRe’, ‘ordinalCont’, ‘ParBayesianOptimization’, ‘power.transform’, ‘praznik’, ‘randomForestSRC’, ‘rBayesianOptimization’, ‘rstream’, ‘smcfcs’, ‘SparseGrid’, ‘survAUC’, ‘survivalmodels’, ‘survivalPLANN’, ‘testthat’, ‘timeROC’, ‘tramME’, ‘treeshap’, ‘trtf’ also installing the dependencies ‘smotefamily’, ‘PermAlgo’, ‘FMStable’, ‘ConsRank’, ‘nonnest2’, ‘exact2x2’, ‘exactci’, ‘bpcp’, ‘perm’ begin installing package ‘smotefamily’ begin installing package ‘PermAlgo’ begin installing package ‘ConsRank’ begin installing package ‘FMStable’ begin installing package ‘bpcp’ begin installing package ‘nonnest2’ begin installing package ‘perm’ begin installing package ‘survAUC’ begin installing package ‘mlrMBO’ begin installing package ‘aorsf’ begin installing package ‘timeROC’ begin installing package ‘hdnom’ begin installing package ‘glmnetUtils’ begin installing package ‘survivalPLANN’ begin installing package ‘survivalmodels’ begin installing package ‘rstream’ begin installing package ‘isotree’ begin installing package ‘laGP’ begin installing package ‘power.transform’ begin installing package ‘praznik’ begin installing package ‘censored’ begin installing package ‘ParBayesianOptimization’ begin installing package ‘rBayesianOptimization’ begin installing package ‘care’ begin installing package ‘mRMRe’ begin installing package ‘FSelector’ begin installing package ‘momentfit’ begin installing package ‘asaur’ * installing *source* package ‘asaur’ ... ** this is package ‘asaur’ version ‘0.50’ ** package ‘asaur’ successfully unpacked and MD5 sums checked ** using staged installation ** data *** moving datasets to lazyload DB ** 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 (asaur) begin installing package ‘iBST’ * installing *source* package ‘PermAlgo’ ... ** this is package ‘PermAlgo’ version ‘1.2’ ** package ‘PermAlgo’ 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 (PermAlgo) begin installing package ‘invGauss’ * installing *source* package ‘care’ ... ** this is package ‘care’ version ‘1.1.11’ ** package ‘care’ 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 (care) begin installing package ‘JM’ * installing *source* package ‘rBayesianOptimization’ ... ** this is package ‘rBayesianOptimization’ version ‘1.2.1’ ** package ‘rBayesianOptimization’ 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 (rBayesianOptimization) begin installing package ‘joint.Cox’ * installing *source* package ‘perm’ ... ** this is package ‘perm’ version ‘1.0-0.4’ ** package ‘perm’ 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 (perm) begin installing package ‘smcfcs’ * installing *source* package ‘nonnest2’ ... ** this is package ‘nonnest2’ version ‘0.5-8’ ** package ‘nonnest2’ 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 (nonnest2) begin installing package ‘casebase’ * installing *source* package ‘FMStable’ ... ** this is package ‘FMStable’ version ‘0.1-4’ ** package ‘FMStable’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-12) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmph0nai8/R.INSTALLdb07a3d569331/FMStable/src' gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c FMStable.c -o FMStable.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o FMStable.so FMStable.o init.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmph0nai8/R.INSTALLdb07a3d569331/FMStable/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-FMStable/00new/FMStable/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 (FMStable) begin installing package ‘hal9001’ * installing *source* package ‘smotefamily’ ... ** this is package ‘smotefamily’ version ‘1.4.0’ ** package ‘smotefamily’ 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 (smotefamily) begin installing package ‘kernelshap’ * installing *source* package ‘rstream’ ... ** this is package ‘rstream’ version ‘1.3.7’ ** package ‘rstream’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-12) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp9xIYlY/R.INSTALLdb09f45b1072/rstream/src' gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_RNG.c -o R_RNG.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_RngStreams.c -o R_RngStreams.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c RngStreams.c -o RngStreams.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o rstream.so R_RNG.o R_RngStreams.o RngStreams.o init.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp9xIYlY/R.INSTALLdb09f45b1072/rstream/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-rstream/00new/rstream/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 (rstream) begin installing package ‘treeshap’ * installing *source* package ‘FSelector’ ... ** this is package ‘FSelector’ version ‘0.34’ ** package ‘FSelector’ 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 (FSelector) begin installing package ‘trtf’ * installing *source* package ‘survivalPLANN’ ... ** this is package ‘survivalPLANN’ version ‘0.1’ ** package ‘survivalPLANN’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** 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 (survivalPLANN) begin installing package ‘ATR’ * installing *source* package ‘praznik’ ... ** this is package ‘praznik’ version ‘11.0.0’ ** package ‘praznik’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-12) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpLRi9eG/R.INSTALLdb0b7b4c156/praznik/src' gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c praznik.c -o praznik.o gcc-14 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o praznik.so praznik.o -fopenmp -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpLRi9eG/R.INSTALLdb0b7b4c156/praznik/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-praznik/00new/praznik/libs ** 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 ** 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 (praznik) begin installing package ‘SparseGrid’ * installing *source* package ‘kernelshap’ ... ** this is package ‘kernelshap’ version ‘0.7.0’ ** package ‘kernelshap’ successfully unpacked and MD5 sums checked ** using staged installation ** 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 ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (kernelshap) begin installing package ‘ordinalCont’ * installing *source* package ‘ParBayesianOptimization’ ... ** this is package ‘ParBayesianOptimization’ version ‘1.2.6’ ** package ‘ParBayesianOptimization’ 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 (ParBayesianOptimization) begin installing package ‘mlt.docreg’ * installing *source* package ‘power.transform’ ... ** this is package ‘power.transform’ version ‘1.0.0’ ** package ‘power.transform’ 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 (power.transform) begin installing package ‘tramME’ * installing *source* package ‘glmnetUtils’ ... ** this is package ‘glmnetUtils’ version ‘1.1.9’ ** package ‘glmnetUtils’ 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 (glmnetUtils) begin installing package ‘randomForestSRC’ * installing *source* package ‘SparseGrid’ ... ** this is package ‘SparseGrid’ version ‘0.8.2’ ** package ‘SparseGrid’ 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 (SparseGrid) begin installing package ‘testthat’ * installing *source* package ‘invGauss’ ... ** this is package ‘invGauss’ version ‘1.2’ ** package ‘invGauss’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** 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 (invGauss) begin installing package ‘imbalance’ * installing *source* package ‘ConsRank’ ... ** this is package ‘ConsRank’ version ‘2.1.4’ ** package ‘ConsRank’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** 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 (ConsRank) begin installing package ‘coxed’ * installing *source* package ‘timeROC’ ... ** this is package ‘timeROC’ version ‘0.4’ ** package ‘timeROC’ 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 (timeROC) begin installing package ‘harmonicmeanp’ * installing *source* package ‘ordinalCont’ ... ** this is package ‘ordinalCont’ version ‘2.0.2’ ** package ‘ordinalCont’ 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 (ordinalCont) begin installing package ‘adabag’ * installing *source* package ‘joint.Cox’ ... ** this is package ‘joint.Cox’ version ‘3.16’ ** package ‘joint.Cox’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** 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 (joint.Cox) begin installing package ‘merDeriv’ * installing *source* package ‘bpcp’ ... ** this is package ‘bpcp’ version ‘1.4.2’ ** package ‘bpcp’ 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 (bpcp) * installing *source* package ‘harmonicmeanp’ ... ** this is package ‘harmonicmeanp’ version ‘3.0.1’ ** package ‘harmonicmeanp’ 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 (harmonicmeanp) * installing *source* package ‘smcfcs’ ... ** this is package ‘smcfcs’ version ‘1.9.1’ ** package ‘smcfcs’ 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 ** 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 (smcfcs) * installing *source* package ‘ATR’ ... ** this is package ‘ATR’ version ‘0.1-1’ ** package ‘ATR’ 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 (ATR) * installing *source* package ‘survAUC’ ... ** this is package ‘survAUC’ version ‘1.3-0’ ** package ‘survAUC’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-12) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpNAREKZ/R.INSTALLdb07e3fd99632/survAUC/src' gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_init_survAUC.c -o R_init_survAUC.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c survAUC_Cham_Diao.c -o survAUC_Cham_Diao.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c survAUC_HZ.c -o survAUC_HZ.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c survAUC_Hung_Chiang.c -o survAUC_Hung_Chiang.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c survAUC_SongZhou.c -o survAUC_SongZhou.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c survAUC_UNO.c -o survAUC_UNO.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c surv_measures.c -o surv_measures.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utils.c -o utils.o gcc-14 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o survAUC.so R_init_survAUC.o survAUC_Cham_Diao.o survAUC_HZ.o survAUC_Hung_Chiang.o survAUC_SongZhou.o survAUC_UNO.o surv_measures.o utils.o -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpNAREKZ/R.INSTALLdb07e3fd99632/survAUC/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-survAUC/00new/survAUC/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 (survAUC) * installing *source* package ‘momentfit’ ... ** this is package ‘momentfit’ version ‘0.5’ ** package ‘momentfit’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-12) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-12) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpesEqeH/R.INSTALLdb0c44051526/momentfit/src' gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c lambda_met.f -o lambda_met.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c src.c -o src.o gcc-14 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o momentfit.so lambda_met.o src.o -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpesEqeH/R.INSTALLdb0c44051526/momentfit/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-momentfit/00new/momentfit/libs ** 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 ** 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 (momentfit) * installing *source* package ‘survivalmodels’ ... ** this is package ‘survivalmodels’ version ‘0.1.191’ ** package ‘survivalmodels’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-12) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp07Q6J4/R.INSTALLdb0a635ec931d/survivalmodels/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c C_akritas.cpp -o C_akritas.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c C_survassert.cpp -o C_survassert.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o survivalmodels.so C_akritas.o C_survassert.o RcppExports.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp07Q6J4/R.INSTALLdb0a635ec931d/survivalmodels/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-survivalmodels/00new/survivalmodels/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 (survivalmodels) * installing *source* package ‘trtf’ ... ** this is package ‘trtf’ version ‘0.4-2’ ** package ‘trtf’ 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 ** 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 (trtf) * installing *source* package ‘censored’ ... ** this is package ‘censored’ version ‘0.3.2’ ** package ‘censored’ 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 ** 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 (censored) * installing *source* package ‘laGP’ ... ** this is package ‘laGP’ version ‘1.5-9’ ** package ‘laGP’ successfully unpacked and MD5 sums checked ** using staged installation ** libs make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpbJugBS/R.INSTALLdb0aa379a89b1/laGP/src' /home/hornik/tmp/R/bin/R CMD SHLIB -o laGP.so *.c using C compiler: ‘gcc-14 (Debian 14.2.0-12) 14.2.0’ make[2]: Entering directory '/home/hornik/tmp/scratch/RtmpbJugBS/R.INSTALLdb0aa379a89b1/laGP/src' gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c covar.c -o covar.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c covar_sep.c -o covar_sep.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c davies.c -o davies.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gamma.c -o gamma.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gp.c -o gp.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gp_sep.c -o gp_sep.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ieci.c -o ieci.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c laGP.c -o laGP.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c laGP_sep.c -o laGP_sep.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c linalg.c -o linalg.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c matrix.c -o matrix.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c order.c -o order.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rbetter.c -o rbetter.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rhelp.c -o rhelp.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c util.c -o util.o gcc-14 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o laGP.so covar.o covar_sep.o davies.o gamma.o gp.o gp_sep.o ieci.o init.o laGP.o laGP_sep.o linalg.o matrix.o order.o rbetter.o rhelp.o util.o -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -fopenmp -L/home/hornik/tmp/R/lib -lR make[2]: Leaving directory '/home/hornik/tmp/scratch/RtmpbJugBS/R.INSTALLdb0aa379a89b1/laGP/src' make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpbJugBS/R.INSTALLdb0aa379a89b1/laGP/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-laGP/00new/laGP/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 (laGP) * installing *source* package ‘mRMRe’ ... ** this is package ‘mRMRe’ version ‘2.1.2.2’ ** package ‘mRMRe’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-12) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp08D264/R.INSTALLdb0c32cfdb756/mRMRe/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c Data.cpp -o Data.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c Filter.cpp -o Filter.o Filter.cpp: In member function ‘const void Filter::placeElements(unsigned int, unsigned int, unsigned int)’: Filter.cpp:198:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 198 | for (int j = 0; j < mFixedFeatureCount; ++j) | ~~^~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c Math.cpp -o Math.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c Matrix.cpp -o Matrix.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c MutualInformationMatrix.cpp -o MutualInformationMatrix.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c exports.cpp -o exports.o exports.cpp: In function ‘SEXPREC* export_concordance_index(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP)’: exports.cpp:55:32: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 55 | for (unsigned int i = 0; i < INTEGER(sampleStratumCount)[0]; ++i) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ exports.cpp: In function ‘SEXPREC* export_filters(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP)’: exports.cpp:80:32: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 80 | for (unsigned int i = 0; i < LENGTH(childrenCountPerLevel); ++i) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ exports.cpp:92:32: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 92 | for (unsigned int i = 0; i < LENGTH(targetFeatureIndices); ++i) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ exports.cpp:105:36: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 105 | for (unsigned int k = 0; k < INTEGER(featureCount)[0]; ++k) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ exports.cpp: In function ‘SEXPREC* export_filters_bootstrap(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP)’: exports.cpp:153:32: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 153 | for (unsigned int i = 0; i < LENGTH(targetFeatureIndices); ++i) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ exports.cpp:159:36: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 159 | for (unsigned int k = 0; k < INTEGER(featureCount)[0]; ++k) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ exports.cpp:168:36: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 168 | for (unsigned int j = 0; j < LENGTH(targetFeatureIndices); ++j) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o mRMRe.so Data.o Filter.o Math.o Matrix.o MutualInformationMatrix.o exports.o -fopenmp -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp08D264/R.INSTALLdb0c32cfdb756/mRMRe/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-mRMRe/00new/mRMRe/libs ** 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 ** 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 (mRMRe) * installing *source* package ‘mlrMBO’ ... ** this is package ‘mlrMBO’ version ‘1.1.5.1’ ** package ‘mlrMBO’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-12) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpfb5ExU/R.INSTALLdb0ac287e82ac/mlrMBO/src' gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c avl.c -o avl.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c hv.c -o hv.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c infill.c -o infill.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o mlrMBO.so avl.o hv.o infill.o init.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpfb5ExU/R.INSTALLdb0ac287e82ac/mlrMBO/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-mlrMBO/00new/mlrMBO/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 (mlrMBO) * installing *source* package ‘casebase’ ... ** this is package ‘casebase’ version ‘0.10.6’ ** package ‘casebase’ 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 (casebase) * installing *source* package ‘mlt.docreg’ ... ** this is package ‘mlt.docreg’ version ‘1.1-10’ ** package ‘mlt.docreg’ 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 (mlt.docreg) * installing *source* package ‘hdnom’ ... ** this is package ‘hdnom’ version ‘6.0.4’ ** package ‘hdnom’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-12) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp0MeVcg/R.INSTALLdb08d5ea72279/hdnom/src' gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c hdnom-init.c -o hdnom-init.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c survAUC_Cham_Diao.c -o survAUC_Cham_Diao.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c survAUC_SongZhou.c -o survAUC_SongZhou.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c survAUC_UNO.c -o survAUC_UNO.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utils.c -o utils.o gcc-14 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o hdnom.so hdnom-init.o survAUC_Cham_Diao.o survAUC_SongZhou.o survAUC_UNO.o utils.o -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp0MeVcg/R.INSTALLdb08d5ea72279/hdnom/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-hdnom/00new/hdnom/libs ** 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 ** 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 (hdnom) * installing *source* package ‘iBST’ ... ** this is package ‘iBST’ version ‘1.2’ ** package ‘iBST’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-12) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmprIHItc/R.INSTALLdb45c4f957e91/iBST/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c cpp_functions.cpp -o cpp_functions.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c rcpp_hello_world.cpp -o rcpp_hello_world.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o iBST.so RcppExports.o cpp_functions.o rcpp_hello_world.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmprIHItc/R.INSTALLdb45c4f957e91/iBST/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-iBST/00new/iBST/libs ** R ** data ** 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 (iBST) * installing *source* package ‘merDeriv’ ... ** this is package ‘merDeriv’ version ‘0.2-4’ ** package ‘merDeriv’ 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 (merDeriv) * installing *source* package ‘coxed’ ... ** this is package ‘coxed’ version ‘0.3.3’ ** package ‘coxed’ 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 ** 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 (coxed) * installing *source* package ‘JM’ ... ** this is package ‘JM’ version ‘1.5-2’ ** package ‘JM’ 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 (JM) * installing *source* package ‘adabag’ ... ** this is package ‘adabag’ version ‘5.0’ ** package ‘adabag’ 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 (adabag) * installing *source* package ‘treeshap’ ... ** this is package ‘treeshap’ version ‘0.3.1’ ** package ‘treeshap’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-12) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpP927jn/R.INSTALLdb7e516ddc1a4/treeshap/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c predict.cpp -o predict.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c set_reference_dataset.cpp -o set_reference_dataset.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c treeshap.cpp -o treeshap.o treeshap.cpp: In function ‘void recurse(const Rcpp::IntegerVector&, const Rcpp::IntegerVector&, const Rcpp::IntegerVector&, const Rcpp::IntegerVector&, const Rcpp::LogicalVector&, const Rcpp::NumericVector&, const Rcpp::NumericVector&, const Rcpp::NumericVector&, const Rcpp::IntegerVector&, const Rcpp::NumericVector&, const Rcpp::LogicalVector&, Rcpp::NumericVector&, Path&, int, tnumeric, bool, int, int, int, tnumeric)’: treeshap.cpp:131:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 131 | for (int i = 1; i < m.size(); ++i) { | ~~^~~~~~~~~~ treeshap.cpp:139:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 139 | for (int k = 1; k < m.size(); ++k) { | ~~^~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o treeshap.so RcppExports.o predict.o set_reference_dataset.o treeshap.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpP927jn/R.INSTALLdb7e516ddc1a4/treeshap/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-treeshap/00new/treeshap/libs ** R ** data *** moving datasets to lazyload DB ** 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 (treeshap) * installing *source* package ‘imbalance’ ... ** this is package ‘imbalance’ version ‘1.0.2.1’ ** package ‘imbalance’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-12) 14.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpKeLFHQ/R.INSTALLdbbed118339f2/imbalance/src' g++-14 -std=gnu++11 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c mwmote.cpp -o mwmote.o mwmote.cpp: In constructor ‘HierarchicalClustering::HierarchicalClustering(arma::mat&)’: mwmote.cpp:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 25 | for(int i = 0; i < dists.n_cols; i++){ | ~~^~~~~~~~~~~~~~ mwmote.cpp:36:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 36 | for(int j = i + 1; j < distance_matrix.n_cols; j++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ mwmote.cpp: In member function ‘void HierarchicalClustering::mergeNearestClusters()’: mwmote.cpp:53:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 53 | for(int i = 0; i < distance_matrix.n_rows; i++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ mwmote.cpp:54:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 54 | for(int j = i + 1; j < distance_matrix.n_cols; j++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ mwmote.cpp:67:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘arma::uword’ {aka ‘unsigned int’} [-Wsign-compare] 67 | for(int i = 0; i < cluster_i; i++) | ~~^~~~~~~~~~~ mwmote.cpp:70:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 70 | for(int j = cluster_i + 1; j < distance_matrix.n_cols; j++) | ~~^~~~~~~~~~~~~~~~~~~~~~~~ mwmote.cpp: In member function ‘std::vector > HierarchicalClustering::getClusterAssignation()’: mwmote.cpp:97:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 97 | for(int i=0; i < clusters.size(); i++){ | ~~^~~~~~~~~~~~~~~~~ mwmote.cpp: In member function ‘void HierarchicalClustering::mergeNearestClusters()’: mwmote.cpp:67:22: warning: ‘cluster_i’ may be used uninitialized [-Wmaybe-uninitialized] 67 | for(int i = 0; i < cluster_i; i++) | ~~^~~~~~~~~~~ mwmote.cpp:50:17: note: ‘cluster_i’ was declared here 50 | arma::uword cluster_i, cluster_j; | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include/armadillo:669, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo/interface/RcppArmadilloForward.h:58, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo.h:29, from mwmote.cpp:1: In member function ‘eT& arma::Mat::operator()(arma::uword, arma::uword) [with eT = double]’, inlined from ‘void HierarchicalClustering::mergeNearestClusters()’ at mwmote.cpp:68:86: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include/armadillo_bits/Mat_meat.hpp:6469:50: warning: ‘cluster_j’ may be used uninitialized [-Wmaybe-uninitialized] 6469 | arma_conform_check_bounds( ((in_row >= n_rows) || (in_col >= n_cols)), "Mat::operator(): index out of bounds" ); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ mwmote.cpp: In member function ‘void HierarchicalClustering::mergeNearestClusters()’: mwmote.cpp:50:28: note: ‘cluster_j’ was declared here 50 | arma::uword cluster_i, cluster_j; | ^~~~~~~~~ g++-14 -std=gnu++11 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c neater.cpp -o neater.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c pdfos.cpp -o pdfos.o pdfos.cpp: In function ‘CrossEvaluation computeCV(arma::mat&, arma::mat&, double)’: pdfos.cpp:29:28: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 29 | for(arma::uword i = 0; i < m; i++){ | ~~^~~ pdfos.cpp:30:34: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 30 | for(arma::uword j = i + 1; j < m; j++){ | ~~^~~ pdfos.cpp: In function ‘double bestGaussianBandwidth(arma::mat&, arma::mat&)’: pdfos.cpp:122:10: warning: ‘best_bandwidth’ may be used uninitialized [-Wmaybe-uninitialized] 122 | return best_bandwidth; | ^~~~~~~~~~~~~~ pdfos.cpp:79:10: note: ‘best_bandwidth’ was declared here 79 | double best_bandwidth; | ^~~~~~~~~~~~~~ g++-14 -std=gnu++11 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o imbalance.so RcppExports.o mwmote.o neater.o pdfos.o -fopenmp -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpKeLFHQ/R.INSTALLdbbed118339f2/imbalance/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-imbalance/00new/imbalance/libs ** 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 ** 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 (imbalance) * installing *source* package ‘hal9001’ ... ** this is package ‘hal9001’ version ‘0.4.6’ ** package ‘hal9001’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-12) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpJgkR1w/R.INSTALLdb7073a109d7c/hal9001/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c RcppExports.cpp -o RcppExports.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from hal9001_types.h:4, from RcppExports.cpp:4: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ hal9001_types.h:9:15: required from here 9 | typedef MSpMat::InnerIterator MInIterMat; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7: required from ‘class Eigen::SparseVector’ 64 | class SparseVector | ^~~~~~~~~~~~ hal9001_types.h:14:14: required from here 14 | typedef SpVec::InnerIterator InIterVec; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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]’ 77 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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 DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ 132 | assign_sparse_to_sparse(dst.derived(), src.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseMatrix; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:713:13: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ 713 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:387:24: required from ‘Eigen::SparseMatrix Rcpp::traits::Exporter >::get() [with T = double]’ 387 | return ans; | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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*]’ 89 | return exporter.get(); | ~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/as.h:152:31: required from ‘T Rcpp::as(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ 152 | return internal::as(x, typename traits::r_type_traits::r_category()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/InputParameter.h:46:54: required from ‘Rcpp::ReferenceInputParameter::ReferenceInputParameter(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ 46 | ReferenceInputParameter(SEXP x_) : obj( as(x_) ){} | ~~~~~^~~~ RcppExports.cpp:73:70: required from here 73 | Rcpp::traits::input_parameter< SpMat& >::type x_basis(x_basisSEXP); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c dedupe.cpp -o dedupe.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from dedupe.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ hal9001_types.h:9:15: required from here 9 | typedef MSpMat::InnerIterator MInIterMat; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7: required from ‘class Eigen::SparseVector’ 64 | class SparseVector | ^~~~~~~~~~~~ hal9001_types.h:14:14: required from here 14 | typedef SpVec::InnerIterator InIterVec; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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]’ 77 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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 DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ 132 | assign_sparse_to_sparse(dst.derived(), src.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseMatrix; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseMatrix]’ 917 | call_assignment_no_alias(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:45:37: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Derived&) [with Derived = Eigen::SparseMatrix]’ 45 | internal::call_assignment_no_alias(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:778:26: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ 778 | Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:713:13: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ 713 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ dedupe.cpp:100:18: required from here 100 | return(x_unique); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c make_hal_basis.cpp -o make_hal_basis.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from make_hal_basis.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ hal9001_types.h:9:15: required from here 9 | typedef MSpMat::InnerIterator MInIterMat; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7: required from ‘class Eigen::SparseVector’ 64 | class SparseVector | ^~~~~~~~~~~~ hal9001_types.h:14:14: required from here 14 | typedef SpVec::InnerIterator InIterVec; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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]’ 77 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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 DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ 132 | assign_sparse_to_sparse(dst.derived(), src.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseMatrix; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseMatrix]’ 917 | call_assignment_no_alias(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:45:37: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Derived&) [with Derived = Eigen::SparseMatrix]’ 45 | internal::call_assignment_no_alias(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:778:26: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ 778 | Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:713:13: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ 713 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ make_hal_basis.cpp:204:17: required from here 204 | return(x_basis); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c utils.cpp -o utils.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from utils.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ hal9001_types.h:9:15: required from here 9 | typedef MSpMat::InnerIterator MInIterMat; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7: required from ‘class Eigen::SparseVector’ 64 | class SparseVector | ^~~~~~~~~~~~ hal9001_types.h:14:14: required from here 14 | typedef SpVec::InnerIterator InIterVec; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ 18 | struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils.cpp:23:19: required from here 23 | MapMatd X(Rcpp::as(XX_)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils.cpp:23:19: required from here 23 | MapMatd X(Rcpp::as(XX_)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ utils.cpp:23:19: required from here 23 | MapMatd X(Rcpp::as(XX_)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > > >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView > >’ 45 | class SparseView : public SparseMatrixBase > | ^~~~~~~~~~ utils.cpp:24:31: required from here 24 | SpMat Xsparse = X.sparseView(); // Output: sparse matrix | ~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseView > >]’ 79 | const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::SparseView > >; Functor = Eigen::internal::assign_op; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ 132 | assign_sparse_to_sparse(dst.derived(), src.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView > >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: 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]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 689 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ utils.cpp:24:32: required from here 24 | SpMat Xsparse = X.sparseView(); // Output: sparse matrix | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o hal9001.so RcppExports.o dedupe.o make_hal_basis.o utils.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpJgkR1w/R.INSTALLdb7073a109d7c/hal9001/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-hal9001/00new/hal9001/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 (hal9001) * installing *source* package ‘testthat’ ... ** this is package ‘testthat’ version ‘3.2.3’ ** package ‘testthat’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-12) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-12) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpy9xbR2/R.INSTALLdbb505465fad2/testthat/src' gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c reassign.c -o reassign.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c test-catch.cpp -o test-catch.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c test-example.cpp -o test-example.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c test-runner.cpp -o test-runner.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o testthat.so init.o reassign.o test-catch.o test-example.o test-runner.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpy9xbR2/R.INSTALLdbb505465fad2/testthat/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-testthat/00new/testthat/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 (testthat) begin installing package ‘exactci’ begin installing package ‘FSelectorRcpp’ * installing *source* package ‘randomForestSRC’ ... ** this is package ‘randomForestSRC’ version ‘3.3.2’ ** using staged installation checking for gcc... gcc-14 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-14 accepts -g... yes checking for gcc-14 option to enable C11 features... none needed checking for gcc-14 option to support OpenMP... -fopenmp configure: creating ./config.status config.status: creating src/Makevars ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-12) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpNfeKQU/R.INSTALLdb9b44ab102e4/randomForestSRC/src' gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_init_randomForestSRC.c -o R_init_randomForestSRC.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c randomForestSRC.c -o randomForestSRC.o randomForestSRC.c: In function ‘regressionXwghtSplitOpt’: randomForestSRC.c:19854:26: warning: ‘sumRght’ may be used uninitialized [-Wmaybe-uninitialized] 19854 | sumRghtSqr = pow (sumRght, 2.0) / rghtSize; | ^~~~~~~~~~~~~~~~~~ randomForestSRC.c:19740:21: note: ‘sumRght’ was declared here 19740 | double sumLeft, sumRght, sumLeftSqr, sumRghtSqr; | ^~~~~~~ gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c splitCustom.c -o splitCustom.o gcc-14 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o randomForestSRC.so R_init_randomForestSRC.o randomForestSRC.o splitCustom.o -fopenmp -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpNfeKQU/R.INSTALLdb9b44ab102e4/randomForestSRC/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-randomForestSRC/00new/randomForestSRC/libs ** 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 ** 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 (randomForestSRC) * installing *source* package ‘exactci’ ... ** this is package ‘exactci’ version ‘1.4-4’ ** package ‘exactci’ 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 (exactci) begin installing package ‘exact2x2’ * installing *source* package ‘exact2x2’ ... ** this is package ‘exact2x2’ version ‘1.6.9’ ** package ‘exact2x2’ 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 (exact2x2) begin installing package ‘asht’ * installing *source* package ‘asht’ ... ** this is package ‘asht’ version ‘1.0.1’ ** package ‘asht’ 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 (asht) * installing *source* package ‘FSelectorRcpp’ ... ** this is package ‘FSelectorRcpp’ version ‘0.3.13’ ** package ‘FSelectorRcpp’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-12) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-12) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpDKWUxL/R.INSTALLdc25067e20cc6/FSelectorRcpp/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_recheck/Library/testthat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_recheck/Library/testthat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c cutOff.cpp -o cutOff.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_recheck/Library/testthat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c discretize.cpp -o discretize.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_recheck/Library/testthat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c discretizeControl.cpp -o discretizeControl.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_recheck/Library/testthat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c information_gain.cpp -o information_gain.o gcc-14 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_recheck/Library/testthat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_recheck/Library/testthat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c support.cpp -o support.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_recheck/Library/testthat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c test-cpp.cpp -o test-cpp.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_recheck/Library/testthat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c test-runner.cpp -o test-runner.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o FSelectorRcpp.so RcppExports.o cutOff.o discretize.o discretizeControl.o information_gain.o init.o support.o test-cpp.o test-runner.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpDKWUxL/R.INSTALLdc25067e20cc6/FSelectorRcpp/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-FSelectorRcpp/00new/FSelectorRcpp/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 (FSelectorRcpp) * installing *source* package ‘aorsf’ ... ** this is package ‘aorsf’ version ‘0.1.5’ ** package ‘aorsf’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-12) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpqqqGHm/R.INSTALLdb09b601310d2/aorsf/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c AAA_check_cpp_version.cpp -o AAA_check_cpp_version.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c Coxph.cpp -o Coxph.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c Forest.cpp -o Forest.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c ForestClassification.cpp -o ForestClassification.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c ForestRegression.cpp -o ForestRegression.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c ForestSurvival.cpp -o ForestSurvival.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c Tree.cpp -o Tree.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c TreeClassification.cpp -o TreeClassification.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c TreeRegression.cpp -o TreeRegression.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c TreeSurvival.cpp -o TreeSurvival.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c orsf_oop.cpp -o orsf_oop.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c utility.cpp -o utility.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o aorsf.so AAA_check_cpp_version.o Coxph.o Forest.o ForestClassification.o ForestRegression.o ForestSurvival.o RcppExports.o Tree.o TreeClassification.o TreeRegression.o TreeSurvival.o orsf_oop.o utility.o -fopenmp -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpqqqGHm/R.INSTALLdb09b601310d2/aorsf/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-aorsf/00new/aorsf/libs ** 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 ** 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 (aorsf) * installing *source* package ‘isotree’ ... ** this is package ‘isotree’ version ‘0.6.1-4’ ** package ‘isotree’ 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++-14 -std=gnu++17 accepts -g... yes checking for g++-14 -std=gnu++17 option to enable C++11 features... none needed configure: creating ./config.status config.status: creating src/Makevars ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-12) 14.2.0’ using C++17 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmptoqVl3/R.INSTALLdb0b121a030aa/isotree/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DRCPP_USE_UNWIND_PROTECT -D_FOR_R -D_USE_XOSHIRO -D_USE_ROBIN_MAP -DSUPPORTS_RESTRICT=1 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fno-math-errno -fno-trapping-math -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DRCPP_USE_UNWIND_PROTECT -D_FOR_R -D_USE_XOSHIRO -D_USE_ROBIN_MAP -DSUPPORTS_RESTRICT=1 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fno-math-errno -fno-trapping-math -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c Rwrapper.cpp -o Rwrapper.o In file included from headers_joined.h:73, from Rwrapper.cpp:76: In function ‘double extract_spR(const PredictionData&, const sparse_ix*, const sparse_ix*, std::size_t, std::size_t, std::size_t) [with PredictionData = PredictionData; sparse_ix = int]’, inlined from ‘void traverse_hplane(std::vector&, ExtIsoForest&, PredictionData&, double&, std::vector*, ImputedData*, sparse_ix*, double*, std::size_t) [with PredictionData = PredictionData; sparse_ix = int; ImputedData = ImputedData]’ at predict.h:1156:51: predict.h:1920:38: warning: ‘lb’ may be used uninitialized [-Wmaybe-uninitialized] 1920 | if (row_end == row_st || col_num < lb || col_num > ub) | ~~~~~~~~^~~~ predict.h: In function ‘void traverse_hplane(std::vector&, ExtIsoForest&, PredictionData&, double&, std::vector*, ImputedData*, sparse_ix*, double*, std::size_t) [with PredictionData = PredictionData; sparse_ix = int; ImputedData = ImputedData]’: predict.h:1104:12: note: ‘lb’ was declared here 1104 | size_t lb, ub; | ^~ In function ‘double extract_spR(const PredictionData&, const sparse_ix*, const sparse_ix*, std::size_t, std::size_t, std::size_t) [with PredictionData = PredictionData; sparse_ix = int]’, inlined from ‘void traverse_hplane(std::vector&, ExtIsoForest&, PredictionData&, double&, std::vector*, ImputedData*, sparse_ix*, double*, std::size_t) [with PredictionData = PredictionData; sparse_ix = int; ImputedData = ImputedData]’ at predict.h:1156:51: predict.h:1920:43: warning: ‘ub’ may be used uninitialized [-Wmaybe-uninitialized] 1920 | if (row_end == row_st || col_num < lb || col_num > ub) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ predict.h: In function ‘void traverse_hplane(std::vector&, ExtIsoForest&, PredictionData&, double&, std::vector*, ImputedData*, sparse_ix*, double*, std::size_t) [with PredictionData = PredictionData; sparse_ix = int; ImputedData = ImputedData]’: predict.h:1104:16: note: ‘ub’ was declared here 1104 | size_t lb, ub; | ^~ In function ‘double extract_spR(const PredictionData&, const sparse_ix*, const sparse_ix*, std::size_t, std::size_t, std::size_t) [with PredictionData = PredictionData; sparse_ix = int]’, inlined from ‘void traverse_hplane(std::vector&, ExtIsoForest&, PredictionData&, double&, std::vector*, ImputedData*, sparse_ix*, double*, std::size_t) [with PredictionData = PredictionData; sparse_ix = int; ImputedData = ImputedData]’ at predict.h:1156:51, inlined from ‘_Z30impute_missing_values_internalIdieEvPT_PibS1_PT0_S4_miP9IsoForestP12ExtIsoForestR7Imputer._omp_fn.1’ at impute.h:263:36: predict.h:1920:38: warning: ‘lb’ may be used uninitialized [-Wmaybe-uninitialized] 1920 | if (row_end == row_st || col_num < lb || col_num > ub) | ~~~~~~~~^~~~ predict.h: In function ‘_Z30impute_missing_values_internalIdieEvPT_PibS1_PT0_S4_miP9IsoForestP12ExtIsoForestR7Imputer._omp_fn.1’: predict.h:1104:12: note: ‘lb’ was declared here 1104 | size_t lb, ub; | ^~ In function ‘double extract_spR(const PredictionData&, const sparse_ix*, const sparse_ix*, std::size_t, std::size_t, std::size_t) [with PredictionData = PredictionData; sparse_ix = int]’, inlined from ‘void traverse_hplane(std::vector&, ExtIsoForest&, PredictionData&, double&, std::vector*, ImputedData*, sparse_ix*, double*, std::size_t) [with PredictionData = PredictionData; sparse_ix = int; ImputedData = ImputedData]’ at predict.h:1156:51, inlined from ‘_Z30impute_missing_values_internalIdieEvPT_PibS1_PT0_S4_miP9IsoForestP12ExtIsoForestR7Imputer._omp_fn.1’ at impute.h:263:36: predict.h:1920:43: warning: ‘ub’ may be used uninitialized [-Wmaybe-uninitialized] 1920 | if (row_end == row_st || col_num < lb || col_num > ub) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ predict.h: In function ‘_Z30impute_missing_values_internalIdieEvPT_PibS1_PT0_S4_miP9IsoForestP12ExtIsoForestR7Imputer._omp_fn.1’: predict.h:1104:16: note: ‘ub’ was declared here 1104 | size_t lb, ub; | ^~ In file included from headers_joined.h:65: In function ‘double find_split_full_gain_weighted(real_t*, std::size_t, std::size_t, std::size_t*, std::size_t*, std::size_t, bool, double*, std::size_t, double*, std::size_t*, std::size_t*, double*, double*, std::size_t&, double&, bool, mapping&) [with real_t = double; mapping = double* __restrict__; ldouble_safe = double]’, inlined from ‘double eval_guided_crit_weighted(double*, std::size_t, GainCriterion, double, bool, double*, double&, double&, double&, double*, std::size_t*, std::size_t*, std::size_t*, std::size_t, bool, double*, std::size_t, double*, std::size_t*, std::size_t*) [with ldouble_safe = double]’ at crit.h:3166:85: crit.h:2323:68: warning: ‘ignored’ may be used uninitialized [-Wmaybe-uninitialized] 2323 | split_point = midpoint(x[ix_arr[split_ix]], x[ix_arr[split_ix+1]]); | ~~~~~~~~~~~~~~~~~^ crit.h: In function ‘double eval_guided_crit_weighted(double*, std::size_t, GainCriterion, double, bool, double*, double&, double&, double&, double*, std::size_t*, std::size_t*, std::size_t*, std::size_t, bool, double*, std::size_t, double*, std::size_t*, std::size_t*) [with ldouble_safe = double]’: crit.h:3165:16: note: ‘ignored’ was declared here 3165 | size_t ignored; | ^~~~~~~ In function ‘double find_split_full_gain_weighted(real_t*, std::size_t, std::size_t, std::size_t*, std::size_t*, std::size_t, bool, double*, std::size_t, double*, std::size_t*, std::size_t*, double*, double*, std::size_t&, double&, bool, mapping&) [with real_t = double; mapping = double* __restrict__; ldouble_safe = long double]’, inlined from ‘double eval_guided_crit_weighted(double*, std::size_t, GainCriterion, double, bool, double*, double&, double&, double&, double*, std::size_t*, std::size_t*, std::size_t*, std::size_t, bool, double*, std::size_t, double*, std::size_t*, std::size_t*) [with ldouble_safe = long double]’ at crit.h:3166:85: crit.h:2323:68: warning: ‘ignored’ may be used uninitialized [-Wmaybe-uninitialized] 2323 | split_point = midpoint(x[ix_arr[split_ix]], x[ix_arr[split_ix+1]]); | ~~~~~~~~~~~~~~~~~^ crit.h: In function ‘double eval_guided_crit_weighted(double*, std::size_t, GainCriterion, double, bool, double*, double&, double&, double&, double*, std::size_t*, std::size_t*, std::size_t*, std::size_t, bool, double*, std::size_t, double*, std::size_t*, std::size_t*) [with ldouble_safe = long double]’: crit.h:3165:16: note: ‘ignored’ was declared here 3165 | size_t ignored; | ^~~~~~~ In file included from Rwrapper.cpp:73: crit.h: In function ‘double eval_guided_crit(std::size_t*, std::size_t, std::size_t, int*, int, int*, std::size_t*, std::size_t*, double*, int&, signed char*, signed char*, GainCriterion, double, bool, MissingAction, CategSplit) [with ldouble_safe = double]’: isotree.h:222:45: warning: ‘best_combin’ may be used uninitialized [-Wmaybe-uninitialized] 222 | #define extract_bit(number, bit) (((number) >> (bit)) & 1) | ~~~~~~~~~~^~~~~~~~~ crit.h:3820:73: note: in expansion of macro ‘extract_bit’ 3820 | split_categ[buffer_pos[st_pos + pos]] = extract_bit(best_combin, pos); | ^~~~~~~~~~~ crit.h:3780:32: note: ‘best_combin’ was declared here 3780 | size_t best_combin; | ^~~~~~~~~~~ crit.h: In function ‘double eval_guided_crit_weighted(std::size_t*, std::size_t, std::size_t, int*, int, int*, std::size_t*, double*, int&, signed char*, signed char*, GainCriterion, double, bool, MissingAction, CategSplit, mapping&) [with mapping = std::vector; ldouble_safe = double]’: isotree.h:222:45: warning: ‘best_combin’ may be used uninitialized [-Wmaybe-uninitialized] 222 | #define extract_bit(number, bit) (((number) >> (bit)) & 1) | ~~~~~~~~~~^~~~~~~~~ crit.h:4168:73: note: in expansion of macro ‘extract_bit’ 4168 | split_categ[buffer_pos[st_pos + pos]] = extract_bit(best_combin, pos); | ^~~~~~~~~~~ crit.h:4124:32: note: ‘best_combin’ was declared here 4124 | size_t best_combin; | ^~~~~~~~~~~ crit.h: In function ‘double eval_guided_crit_weighted(std::size_t*, std::size_t, std::size_t, int*, int, int*, std::size_t*, double*, int&, signed char*, signed char*, GainCriterion, double, bool, MissingAction, CategSplit, mapping&) [with mapping = tsl::robin_map; ldouble_safe = double]’: isotree.h:222:45: warning: ‘best_combin’ may be used uninitialized [-Wmaybe-uninitialized] 222 | #define extract_bit(number, bit) (((number) >> (bit)) & 1) | ~~~~~~~~~~^~~~~~~~~ crit.h:4168:73: note: in expansion of macro ‘extract_bit’ 4168 | split_categ[buffer_pos[st_pos + pos]] = extract_bit(best_combin, pos); | ^~~~~~~~~~~ crit.h:4124:32: note: ‘best_combin’ was declared here 4124 | size_t best_combin; | ^~~~~~~~~~~ crit.h: In function ‘double eval_guided_crit(std::size_t*, std::size_t, std::size_t, int*, int, int*, std::size_t*, std::size_t*, double*, int&, signed char*, signed char*, GainCriterion, double, bool, MissingAction, CategSplit) [with ldouble_safe = long double]’: isotree.h:222:45: warning: ‘best_combin’ may be used uninitialized [-Wmaybe-uninitialized] 222 | #define extract_bit(number, bit) (((number) >> (bit)) & 1) | ~~~~~~~~~~^~~~~~~~~ crit.h:3820:73: note: in expansion of macro ‘extract_bit’ 3820 | split_categ[buffer_pos[st_pos + pos]] = extract_bit(best_combin, pos); | ^~~~~~~~~~~ crit.h:3780:32: note: ‘best_combin’ was declared here 3780 | size_t best_combin; | ^~~~~~~~~~~ crit.h: In function ‘double eval_guided_crit_weighted(std::size_t*, std::size_t, std::size_t, int*, int, int*, std::size_t*, double*, int&, signed char*, signed char*, GainCriterion, double, bool, MissingAction, CategSplit, mapping&) [with mapping = std::vector; ldouble_safe = long double]’: isotree.h:222:45: warning: ‘best_combin’ may be used uninitialized [-Wmaybe-uninitialized] 222 | #define extract_bit(number, bit) (((number) >> (bit)) & 1) | ~~~~~~~~~~^~~~~~~~~ crit.h:4168:73: note: in expansion of macro ‘extract_bit’ 4168 | split_categ[buffer_pos[st_pos + pos]] = extract_bit(best_combin, pos); | ^~~~~~~~~~~ crit.h:4124:32: note: ‘best_combin’ was declared here 4124 | size_t best_combin; | ^~~~~~~~~~~ crit.h: In function ‘double eval_guided_crit_weighted(std::size_t*, std::size_t, std::size_t, int*, int, int*, std::size_t*, double*, int&, signed char*, signed char*, GainCriterion, double, bool, MissingAction, CategSplit, mapping&) [with mapping = tsl::robin_map; ldouble_safe = long double]’: isotree.h:222:45: warning: ‘best_combin’ may be used uninitialized [-Wmaybe-uninitialized] 222 | #define extract_bit(number, bit) (((number) >> (bit)) & 1) | ~~~~~~~~~~^~~~~~~~~ crit.h:4168:73: note: in expansion of macro ‘extract_bit’ 4168 | split_categ[buffer_pos[st_pos + pos]] = extract_bit(best_combin, pos); | ^~~~~~~~~~~ crit.h:4124:32: note: ‘best_combin’ was declared here 4124 | size_t best_combin; | ^~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DRCPP_USE_UNWIND_PROTECT -D_FOR_R -D_USE_XOSHIRO -D_USE_ROBIN_MAP -DSUPPORTS_RESTRICT=1 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fno-math-errno -fno-trapping-math -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c formatted_exporters.cpp -o formatted_exporters.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DRCPP_USE_UNWIND_PROTECT -D_FOR_R -D_USE_XOSHIRO -D_USE_ROBIN_MAP -DSUPPORTS_RESTRICT=1 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fno-math-errno -fno-trapping-math -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c indexer.cpp -o indexer.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DRCPP_USE_UNWIND_PROTECT -D_FOR_R -D_USE_XOSHIRO -D_USE_ROBIN_MAP -DSUPPORTS_RESTRICT=1 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fno-math-errno -fno-trapping-math -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c merge_models.cpp -o merge_models.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DRCPP_USE_UNWIND_PROTECT -D_FOR_R -D_USE_XOSHIRO -D_USE_ROBIN_MAP -DSUPPORTS_RESTRICT=1 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fno-math-errno -fno-trapping-math -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c serialize.cpp -o serialize.o In function ‘void write_bytes(const void*, std::size_t, FILE*&) [with dtype = char]’, inlined from ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = _IO_FILE*]’ at serialize.cpp:3934:26: serialize.cpp:470:5: warning: ‘size_model1’ may be used uninitialized [-Wmaybe-uninitialized] 470 | if (n_els == 0) return; | ^~ serialize.cpp: In function ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = _IO_FILE*]’: serialize.cpp:3840:12: note: ‘size_model1’ was declared here 3840 | size_t size_model1, size_model2, size_model3, size_model4; | ^~~~~~~~~~~ In function ‘void write_bytes(const void*, std::size_t, FILE*&) [with dtype = char]’, inlined from ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = _IO_FILE*]’ at serialize.cpp:3936:26: serialize.cpp:470:5: warning: ‘size_model2’ may be used uninitialized [-Wmaybe-uninitialized] 470 | if (n_els == 0) return; | ^~ serialize.cpp: In function ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = _IO_FILE*]’: serialize.cpp:3840:25: note: ‘size_model2’ was declared here 3840 | size_t size_model1, size_model2, size_model3, size_model4; | ^~~~~~~~~~~ In function ‘void write_bytes(const void*, std::size_t, FILE*&) [with dtype = char]’, inlined from ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = _IO_FILE*]’ at serialize.cpp:3938:26: serialize.cpp:470:5: warning: ‘size_model3’ may be used uninitialized [-Wmaybe-uninitialized] 470 | if (n_els == 0) return; | ^~ serialize.cpp: In function ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = _IO_FILE*]’: serialize.cpp:3840:38: note: ‘size_model3’ was declared here 3840 | size_t size_model1, size_model2, size_model3, size_model4; | ^~~~~~~~~~~ In function ‘void write_bytes(const void*, std::size_t, FILE*&) [with dtype = char]’, inlined from ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = _IO_FILE*]’ at serialize.cpp:3940:26: serialize.cpp:470:5: warning: ‘size_model4’ may be used uninitialized [-Wmaybe-uninitialized] 470 | if (n_els == 0) return; | ^~ serialize.cpp: In function ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = _IO_FILE*]’: serialize.cpp:3840:51: note: ‘size_model4’ was declared here 3840 | size_t size_model1, size_model2, size_model3, size_model4; | ^~~~~~~~~~~ In function ‘void write_bytes(const void*, std::size_t, std::ostream&) [with dtype = char]’, inlined from ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = std::basic_ostream]’ at serialize.cpp:3934:26: serialize.cpp:462:5: warning: ‘size_model1’ may be used uninitialized [-Wmaybe-uninitialized] 462 | if (n_els == 0) return; | ^~ serialize.cpp: In function ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = std::basic_ostream]’: serialize.cpp:3840:12: note: ‘size_model1’ was declared here 3840 | size_t size_model1, size_model2, size_model3, size_model4; | ^~~~~~~~~~~ In function ‘void write_bytes(const void*, std::size_t, std::ostream&) [with dtype = char]’, inlined from ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = std::basic_ostream]’ at serialize.cpp:3936:26: serialize.cpp:462:5: warning: ‘size_model2’ may be used uninitialized [-Wmaybe-uninitialized] 462 | if (n_els == 0) return; | ^~ serialize.cpp: In function ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = std::basic_ostream]’: serialize.cpp:3840:25: note: ‘size_model2’ was declared here 3840 | size_t size_model1, size_model2, size_model3, size_model4; | ^~~~~~~~~~~ In function ‘void write_bytes(const void*, std::size_t, std::ostream&) [with dtype = char]’, inlined from ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = std::basic_ostream]’ at serialize.cpp:3938:26: serialize.cpp:462:5: warning: ‘size_model3’ may be used uninitialized [-Wmaybe-uninitialized] 462 | if (n_els == 0) return; | ^~ serialize.cpp: In function ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = std::basic_ostream]’: serialize.cpp:3840:38: note: ‘size_model3’ was declared here 3840 | size_t size_model1, size_model2, size_model3, size_model4; | ^~~~~~~~~~~ In function ‘void write_bytes(const void*, std::size_t, std::ostream&) [with dtype = char]’, inlined from ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = std::basic_ostream]’ at serialize.cpp:3940:26: serialize.cpp:462:5: warning: ‘size_model4’ may be used uninitialized [-Wmaybe-uninitialized] 462 | if (n_els == 0) return; | ^~ serialize.cpp: In function ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = std::basic_ostream]’: serialize.cpp:3840:51: note: ‘size_model4’ was declared here 3840 | size_t size_model1, size_model2, size_model3, size_model4; | ^~~~~~~~~~~ In function ‘void write_bytes(const void*, std::size_t, char*&) [with dtype = char]’, inlined from ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = char*]’ at serialize.cpp:3934:26: serialize.cpp:454:5: warning: ‘size_model1’ may be used uninitialized [-Wmaybe-uninitialized] 454 | if (n_els == 0) return; | ^~ serialize.cpp: In function ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = char*]’: serialize.cpp:3840:12: note: ‘size_model1’ was declared here 3840 | size_t size_model1, size_model2, size_model3, size_model4; | ^~~~~~~~~~~ In function ‘void write_bytes(const void*, std::size_t, char*&) [with dtype = char]’, inlined from ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = char*]’ at serialize.cpp:3936:26: serialize.cpp:454:5: warning: ‘size_model2’ may be used uninitialized [-Wmaybe-uninitialized] 454 | if (n_els == 0) return; | ^~ serialize.cpp: In function ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = char*]’: serialize.cpp:3840:25: note: ‘size_model2’ was declared here 3840 | size_t size_model1, size_model2, size_model3, size_model4; | ^~~~~~~~~~~ In function ‘void write_bytes(const void*, std::size_t, char*&) [with dtype = char]’, inlined from ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = char*]’ at serialize.cpp:3938:26: serialize.cpp:454:5: warning: ‘size_model3’ may be used uninitialized [-Wmaybe-uninitialized] 454 | if (n_els == 0) return; | ^~ serialize.cpp: In function ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = char*]’: serialize.cpp:3840:38: note: ‘size_model3’ was declared here 3840 | size_t size_model1, size_model2, size_model3, size_model4; | ^~~~~~~~~~~ In function ‘void write_bytes(const void*, std::size_t, char*&) [with dtype = char]’, inlined from ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = char*]’ at serialize.cpp:3940:26: serialize.cpp:454:5: warning: ‘size_model4’ may be used uninitialized [-Wmaybe-uninitialized] 454 | if (n_els == 0) return; | ^~ serialize.cpp: In function ‘void serialize_combined(const char*, const char*, const char*, const char*, const char*, std::size_t, otype&) [with otype = char*]’: serialize.cpp:3840:51: note: ‘size_model4’ was declared here 3840 | size_t size_model1, size_model2, size_model3, size_model4; | ^~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DRCPP_USE_UNWIND_PROTECT -D_FOR_R -D_USE_XOSHIRO -D_USE_ROBIN_MAP -DSUPPORTS_RESTRICT=1 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fno-math-errno -fno-trapping-math -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c sql.cpp -o sql.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DRCPP_USE_UNWIND_PROTECT -D_FOR_R -D_USE_XOSHIRO -D_USE_ROBIN_MAP -DSUPPORTS_RESTRICT=1 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fno-math-errno -fno-trapping-math -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c subset_models.cpp -o subset_models.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o isotree.so RcppExports.o Rwrapper.o formatted_exporters.o indexer.o merge_models.o serialize.o sql.o subset_models.o -fopenmp -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmptoqVl3/R.INSTALLdb0b121a030aa/isotree/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-isotree/00new/isotree/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 (isotree) * installing *source* package ‘tramME’ ... ** this is package ‘tramME’ version ‘1.0.7’ ** package ‘tramME’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-12) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpBoDlZg/R.INSTALLdb98b72040ef3/tramME/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c init.cpp -o init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c tramTMB.cpp -o tramTMB.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMB.hpp:92, from tramTMB.cpp:21: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:17:8: required from ‘struct tmbutils::vector’ 17 | struct vector : Array | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/convert.hpp:58:1: required from here 48 | R_xlen_t size = a.size(); \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:17:8: required from ‘struct tmbutils::vector’ 17 | struct vector : Array | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/convert.hpp:58:1: required from here 48 | R_xlen_t size = a.size(); \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/convert.hpp:114:24: required from here 114 | vector y = tmp.cast(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/convert.hpp:114:24: required from here 114 | vector y = tmp.cast(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:101:8: required from ‘struct tmbutils::matrix’ 101 | struct matrix : Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:57: required from here 446 | matrix matmul(matrix x, matrix y)CSKIP({ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse, 0, Eigen::Stride<0, 0> > >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:497:1: required from here 510 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from here 539 | double res=LUdiag.abs().log().sum(); // TODO: currently PD only - take care of sign. | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from here 539 | double res=LUdiag.abs().log().sum(); // TODO: currently PD only - take care of sign. | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:552:1: required from here 569 | double logdetX = D.log().sum(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:1218:20: required from here 1218 | jac.row(i) = u; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:206:36: required from ‘atomic::nestedTriangle::nestedTriangle(tmbutils::vector >) [with int n = 1]’ 206 | matrix zero = args[0]*0.0; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 273 | else if (nargs==2) ans=expm(nestedTriangle<1>(args)).bottomLeftCorner(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:206:36: required from ‘atomic::nestedTriangle::nestedTriangle(tmbutils::vector >) [with int n = 1]’ 206 | matrix zero = args[0]*0.0; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 273 | else if (nargs==2) ans=expm(nestedTriangle<1>(args)).bottomLeftCorner(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMB.hpp:96: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ tramTMB.cpp:157:3: required from ‘Type objective_function::operator()() [with Type = double]’ 157 | DATA_SPARSE_MATRIX(Z); // design matrix of the random effects | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ tramTMB.cpp:205:43: required from ‘Type objective_function::operator()() [with Type = double]’ 205 | vector gamma_s = gamma.segment(cum_ts, re_termsize(i)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tramTMB.cpp:227:34: required from ‘Type objective_function::operator()() [with Type = double]’ 227 | vector hl = Yl * beta0 + Xb(whichl) + Zg(whichl) + offset(whichl) + res(whichl); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tramTMB.cpp:227:47: required from ‘Type objective_function::operator()() [with Type = double]’ 227 | vector hl = Yl * beta0 + Xb(whichl) + Zg(whichl) + offset(whichl) + res(whichl); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tramTMB.cpp:227:60: required from ‘Type objective_function::operator()() [with Type = double]’ 227 | vector hl = Yl * beta0 + Xb(whichl) + Zg(whichl) + offset(whichl) + res(whichl); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tramTMB.cpp:227:77: required from ‘Type objective_function::operator()() [with Type = double]’ 227 | vector hl = Yl * beta0 + Xb(whichl) + Zg(whichl) + offset(whichl) + res(whichl); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tramTMB.cpp:319:24: required from ‘Type objective_function::operator()() [with Type = double]’ 319 | b.tail(p-1) = beta * sigma; | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tramTMB.cpp:319:24: required from ‘Type objective_function::operator()() [with Type = double]’ 319 | b.tail(p-1) = beta * sigma; | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/start_parallel.hpp:240:37: required from ‘VectorBase parallelADFun::Reverse(size_t, const VectorBase&) [with VectorBase = Eigen::Matrix; Type = double; size_t = long unsigned int]’ 240 | for(int i=0;iReverse(1, v); | ~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:30:21: required from ‘Type atomic::Block::norm() [with Type = double]’ 30 | Aabs = A.array().abs(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:30:27: required from ‘Type atomic::Block::norm() [with Type = double]’ 30 | Aabs = A.array().abs(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:31:47: required from ‘Type atomic::Block::norm() [with Type = double]’ 31 | vector rsAabs = Aabs.rowwise().sum(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:18:23: required from ‘atomic::Block atomic::Block::scale(Type) [with Type = double]’ 18 | return Block( c * this->A ); | ~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:242:29: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 242 | matrix_pade AA = A.scale( 1.0 / pow( 2.0, s ) ); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:25:29: required from ‘atomic::Block atomic::Block::addIdentity() [with Type = double]’ 25 | return Block( this->A + I ); | ~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:245:45: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 245 | matrix_pade E = AA.scale( c).addIdentity(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:36: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization >’ 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:55: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:26: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:84: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, -1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type >, const Eigen::CwiseUnaryOp, const Eigen::Map > > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase > >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase > >::CastXpr::Type Eigen::DenseBase > >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/convert.hpp:114:35: required from ‘tmbutils::vector asVector(SEXP) [with Type = double; SEXP = SEXPREC*]’ 114 | vector y = tmp.cast(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:1183:38: required from ‘SEXPREC* EvalADFunObjectTemplate(SEXP, SEXP, SEXP) [with ADFunType = CppAD::ADFun; SEXP = SEXPREC*]’ 1183 | vector x = asVector(theta); | ~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:1869:48: required from here 1869 | return EvalADFunObjectTemplate >(f,theta,control); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/convert.hpp:136:29: required from ‘tmbutils::matrix asMatrix(const tmbutils::vector&, int, int) [with Type = double]’ 136 | matrix xm = x.matrix(); | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:1198:5: required from ‘SEXPREC* EvalADFunObjectTemplate(SEXP, SEXP, SEXP) [with ADFunType = CppAD::ADFun; SEXP = SEXPREC*]’ 1198 | PROTECT(res=asSEXP(asMatrix(pf->Reverse(3,w),n,3))); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:1869:48: required from here 1869 | return EvalADFunObjectTemplate >(f,theta,control); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/convenience.hpp:43:22: required from ‘tmbutils::vector operator*(tmbutils::matrix, tmbutils::vector) [with Type = double]’ 43 | return A * x.matrix(); | ~~~~~~~~^~ tramTMB.cpp:190:12: required from ‘Type objective_function::operator()() [with Type = double]’ 190 | Xb = X * beta; | ~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::MatrixWrapper >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::MatrixWrapper >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::MatrixWrapper >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::MatrixWrapper >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/convenience.hpp:43:12: required from ‘tmbutils::vector operator*(tmbutils::matrix, tmbutils::vector) [with Type = double]’ 43 | return A * x.matrix(); | ~~^~~~~~~~~~~~ tramTMB.cpp:190:12: required from ‘Type objective_function::operator()() [with Type = double]’ 190 | Xb = X * beta; | ~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ tramTMB.cpp:110:26: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 110 | vector sd = exp(theta.head(blocksize)); // parameterized w/ log(sd) | ~~~^~~~~~~~~~~~~~~~~~~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/array.hpp:22:8: required from ‘struct tmbutils::array’ 22 | struct array:Map< Array >{ | ^~~~~ tramTMB.cpp:115:22: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 115 | ans += scnldens(gamma.segment(i * blocksize, blocksize)); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::MatrixWrapper >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::MatrixWrapper >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::MatrixWrapper >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::MatrixWrapper >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/convenience.hpp:49:13: required from ‘tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 49 | return (A * x.matrix()).array(); | ~~~^~~~~~~~~~~~~ tramTMB.cpp:212:12: required from ‘Type objective_function::operator()() [with Type = double]’ 212 | Zg = Z * gamma; | ~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::MatrixWrapper >, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/convenience.hpp:49:32: required from ‘tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 49 | return (A * x.matrix()).array(); | ~~~~~~~~~~~~~~~~~~~~~~^~ tramTMB.cpp:212:12: required from ‘Type objective_function::operator()() [with Type = double]’ 212 | Zg = Z * gamma; | ~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::Block, -1, 1, false>; Scalar = double]’ 27 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ tramTMB.cpp:324:43: required from ‘Type objective_function::operator()() [with Type = double]’ 324 | th.segment(cum_bs, re_blocksize(i)) += log(sigma); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:599:56: required from ‘void report_stack::push(Vector_Matrix_Or_Array, const char*) [with Vector_Matrix_Or_Array = tmbutils::vector; Type = double]’ 599 | Eigen::Array xa(x); | ^~ tramTMB.cpp:327:5: required from ‘Type objective_function::operator()() [with Type = double]’ 343 | TMB_OBJECTIVE_PTR -> reportvector.push(name, #name); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:44: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:22: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:77: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:39: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:276:21: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 276 | matrixtype llt=L*L.transpose(); | ~^~~~~~~~~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:1036:23: required from ‘density::VECSCALE_t::scalartype density::VECSCALE_t::operator()(vectortype) [with distribution = density::UNSTRUCTURED_CORR_t; scalartype = double; vectortype = tmbutils::vector]’ 1036 | scalartype ans=f(x/scale); | ~^~~~~~ tramTMB.cpp:115:22: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 115 | ans += scnldens(gamma.segment(i * blocksize, blocksize)); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ 846 | return m = Derived::Identity(m.rows(), m.cols()); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ 875 | return internal::setIdentity_impl::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:24:20: required from ‘atomic::Block atomic::Block::addIdentity() [with Type = double]’ 24 | I.setIdentity(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:245:45: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 245 | matrix_pade E = AA.scale( c).addIdentity(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ 1040 | SparseMatrix trMat(mat.rows(),mat.cols()); | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1110 | internal::set_from_triplets >(begin, end, *this, internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:24:22: required from ‘Eigen::SparseMatrix tmbutils::asSparseMatrix(SEXP) [with Type = double; SEXP = SEXPREC*]’ 24 | mat.setFromTriplets(tripletList.begin(), tripletList.end()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tramTMB.cpp:157:3: required from ‘Type objective_function::operator()() [with Type = double]’ 300 | Eigen::SparseMatrix name(tmbutils::asSparseMatrix( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ 301 | getListElement(TMB_OBJECTIVE_PTR -> data, \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 302 | #name, &isValidSparseMatrix))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:146:21: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 146 | Q = ldlt.solve(I); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]’ 398 | TriangularViewType& operator/=(const typename internal::traits::Scalar& other) { return *this = derived().nestedExpression() / other; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 455 | mat.template triangularView() /= scale; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19: 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]’ 563 | diag.segment(i,n-i).minCoeff(&k); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:568:20: 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]’ 568 | eivec.col(i).swap(eivec.col(k+i)); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:463:14: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 463 | m_eivalues *= scale; | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Array; Derived = Eigen::Block, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:1218:20: required from ‘SEXPREC* EvalADFunObjectTemplate(SEXP, SEXP, SEXP) [with ADFunType = CppAD::ADFun; SEXP = SEXPREC*]’ 1218 | jac.row(i) = u; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:1869:48: required from here 1869 | return EvalADFunObjectTemplate >(f,theta,control); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: 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]’ 1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ 1063 | mat = trMat; | ~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1110 | internal::set_from_triplets >(begin, end, *this, internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:24:22: required from ‘Eigen::SparseMatrix tmbutils::asSparseMatrix(SEXP) [with Type = double; SEXP = SEXPREC*]’ 24 | mat.setFromTriplets(tripletList.begin(), tripletList.end()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tramTMB.cpp:157:3: required from ‘Type objective_function::operator()() [with Type = double]’ 300 | Eigen::SparseMatrix name(tmbutils::asSparseMatrix( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ 301 | getListElement(TMB_OBJECTIVE_PTR -> data, \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 302 | #name, &isValidSparseMatrix))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:153:14: required from ‘density::MVNORM_t::scalartype density::MVNORM_t::Quadform(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 153 | return (x*(vectortype(Q*x))).sum(); | ~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:157:53: required from ‘density::MVNORM_t::scalartype density::MVNORM_t::operator()(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 157 | return -scalartype(.5)*logdetQ + scalartype(.5)*Quadform(x) + x.size()*scalartype(log(sqrt(2.0*M_PI))); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:1036:21: required from ‘density::VECSCALE_t::scalartype density::VECSCALE_t::operator()(vectortype) [with distribution = density::UNSTRUCTURED_CORR_t; scalartype = double; vectortype = tmbutils::vector]’ 1036 | scalartype ans=f(x/scale); | ~^~~~~~~~~ tramTMB.cpp:115:22: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 115 | ans += scnldens(gamma.segment(i * blocksize, blocksize)); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:735:21: required from ‘Derived& Eigen::PlainObjectBase::setOnes(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ 735 | return setConstant(Scalar(1)); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:440:22: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 440 | m_eivec.setOnes(n,n); | ~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tramTMB.cpp:102:47: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 102 | ans -= dnorm(gamma, Type(0), sd, true).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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::Array >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Array >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Array >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Array >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:28: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::Block, -1, 1, false>; Scalar = double]’ 27 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tramTMB.cpp:324:43: required from ‘Type objective_function::operator()() [with Type = double]’ 324 | th.segment(cum_bs, re_blocksize(i)) += log(sigma); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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, true>, -1, 1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: 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>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: 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]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::Array; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::Array; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Array; Derived = Eigen::Block, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:1218:20: required from ‘SEXPREC* EvalADFunObjectTemplate(SEXP, SEXP, SEXP) [with ADFunType = CppAD::ADFun; SEXP = SEXPREC*]’ 1218 | jac.row(i) = u; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:1869:48: required from here 1869 | return EvalADFunObjectTemplate >(f,theta,control); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ 15 | EIGEN_STATIC_ASSERT((int(internal::evaluator::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \ | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 367 | matA.col(i).coeffRef(i+1) = 1; | ~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: 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]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: 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]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: 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]’ 895 | q.applyOnTheRight(k,k+1,rot); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: 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]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 323 | this->visit(minVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 496 | return minCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: 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]’ 563 | diag.segment(i,n-i).minCoeff(&k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]’ 79 | const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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 DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ 132 | assign_sparse_to_sparse(dst.derived(), src.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: 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]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ 1063 | mat = trMat; | ~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1110 | internal::set_from_triplets >(begin, end, *this, internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:24:22: required from ‘Eigen::SparseMatrix tmbutils::asSparseMatrix(SEXP) [with Type = double; SEXP = SEXPREC*]’ 24 | mat.setFromTriplets(tripletList.begin(), tripletList.end()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tramTMB.cpp:157:3: required from ‘Type objective_function::operator()() [with Type = double]’ 300 | Eigen::SparseMatrix name(tmbutils::asSparseMatrix( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ 301 | getListElement(TMB_OBJECTIVE_PTR -> data, \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 302 | #name, &isValidSparseMatrix))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::Array >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::Array >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:148:28: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 148 | logdetS = D.log().sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]’ 28 | result = matrix.partialPivLu().inverse(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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 > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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 > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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 > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::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> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::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> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::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> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::Array, const Eigen::Array >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::Array > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:153:37: required from ‘density::MVNORM_t::scalartype density::MVNORM_t::Quadform(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 153 | return (x*(vectortype(Q*x))).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:157:53: required from ‘density::MVNORM_t::scalartype density::MVNORM_t::operator()(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 157 | return -scalartype(.5)*logdetQ + scalartype(.5)*Quadform(x) + x.size()*scalartype(log(sqrt(2.0*M_PI))); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:1036:21: required from ‘density::VECSCALE_t::scalartype density::VECSCALE_t::operator()(vectortype) [with distribution = density::UNSTRUCTURED_CORR_t; scalartype = double; vectortype = tmbutils::vector]’ 1036 | scalartype ans=f(x/scale); | ~^~~~~~~~~ tramTMB.cpp:115:22: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 115 | ans += scnldens(gamma.segment(i * blocksize, blocksize)); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: 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::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: 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::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: 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::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: 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::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: 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]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40: required from ‘void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 147 | typedef typename Traits::ResScalar ResScalar; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81: required from ‘void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 342 | evaluateProductBlockingSizesHeuristic(k, m, n, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66: 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]’ 355 | computeProductBlockingSizes(this->m_kc, this->m_mc, this->m_nc, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 507 | BlockingType blocking(dst.rows(), dst.cols(), lhs.cols(), 1, true); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: 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::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: 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::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:56:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:56:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:56:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:56:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; OtherDerived = Eigen::Product, Eigen::MatrixWrapper >, 0>; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::Product, Eigen::MatrixWrapper >, 0>; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/convenience.hpp:43:12: required from ‘tmbutils::vector operator*(tmbutils::matrix, tmbutils::vector) [with Type = double]’ 43 | return A * x.matrix(); | ~~^~~~~~~~~~~~ tramTMB.cpp:190:12: required from ‘Type objective_function::operator()() [with Type = double]’ 190 | Xb = X * beta; | ~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:276:16: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 276 | matrixtype llt=L*L.transpose(); | ^~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:276:16: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 276 | matrixtype llt=L*L.transpose(); | ^~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: 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::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: 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::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, 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; ResScalar = double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 198 | gebp(res.getSubMapper(i2, j2), blockA, blockB, actual_mc, actual_kc, actual_nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: 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::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:31:20: required from ‘Type atomic::Block::norm() [with Type = double]’ 31 | vector rsAabs = Aabs.rowwise().sum(); | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 2, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]’ 437 | kernel.template assignPacket(index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::PartialReduxExpr, member_sum, 1>; Functor = assign_op]’ 785 | dense_assignment_loop::run(kernel); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:31:20: required from ‘Type atomic::Block::norm() [with Type = double]’ 31 | vector rsAabs = Aabs.rowwise().sum(); | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:56:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:56:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:276:16: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 276 | matrixtype llt=L*L.transpose(); | ^~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: 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]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: 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>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: 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]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -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]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 81 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: 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::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; OtherDerived = Eigen::Product, Eigen::MatrixWrapper >, 0>; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::Product, Eigen::MatrixWrapper >, 0>; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/convenience.hpp:43:12: required from ‘tmbutils::vector operator*(tmbutils::matrix, tmbutils::vector) [with Type = double]’ 43 | return A * x.matrix(); | ~~^~~~~~~~~~~~ tramTMB.cpp:190:12: required from ‘Type objective_function::operator()() [with Type = double]’ 190 | Xb = X * beta; | ~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Solve, 1>, Eigen::Matrix >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:146:9: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 146 | Q = ldlt.solve(I); | ~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Solve, 1>, Eigen::Matrix >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:146:9: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 146 | Q = ldlt.solve(I); | ~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:446:58: required from here 447 | return x*y; | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: 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]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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 >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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 >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:56:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:56:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:56:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:56:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:276:16: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 276 | matrixtype llt=L*L.transpose(); | ^~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:276:16: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 276 | matrixtype llt=L*L.transpose(); | ^~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 599 | dst.row(i) /= vecD(i); | ~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Solve, 1>, Eigen::Matrix >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:146:9: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 146 | Q = ldlt.solve(I); | ~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:587:39: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename DstXprType::Scalar = double; typename Eigen::PartialPivLU::Scalar = double]’ 587 | dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols())); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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 = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [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 > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:337: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: 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> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: 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; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::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>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::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>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::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; 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>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; OtherDerived = Eigen::Product, Eigen::MatrixWrapper >, 0>; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::Product, Eigen::MatrixWrapper >, 0>; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/convenience.hpp:43:12: required from ‘tmbutils::vector operator*(tmbutils::matrix, tmbutils::vector) [with Type = double]’ 43 | return A * x.matrix(); | ~~^~~~~~~~~~~~ tramTMB.cpp:190:12: required from ‘Type objective_function::operator()() [with Type = double]’ 190 | Xb = X * beta; | ~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:166: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘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]’ 89 | Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: 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> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: 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; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::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>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::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>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: 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>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:56:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: 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>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: 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>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: 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; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: 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]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: 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 = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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::Matrix; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 581 | matrixL().template conjugateIf().solveInPlace(dst); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Solve, 1>, Eigen::Matrix >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:146:9: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 146 | Q = ldlt.solve(I); | ~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: 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 = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: 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]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:606:71: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 606 | matrixL().transpose().template conjugateIf().solveInPlace(dst); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Solve, 1>, Eigen::Matrix >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:146:9: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 146 | Q = ldlt.solve(I); | ~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ tramTMB.cpp:112:40: required from ‘Type re_nldens(tmbutils::vector, tmbutils::vector, int, re_cov_term&) [with Type = double]’ 112 | density::UNSTRUCTURED_CORR_t nldens(corr_tr); | ^~~~~~ tramTMB.cpp:207:24: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | npld += re_nldens(gamma_s, theta_s, re_blocksize(i), re_cov(i)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: 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>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 274 | evaluator rhsEval(rhs); | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ 329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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, true>; Derived = Eigen::Map >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::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::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: 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>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: 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>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: 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::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true>; 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]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: 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>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::Block >, 1, -1, true>, 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]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: 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> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 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]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: 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]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::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::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: 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 = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:50:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class 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> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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::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]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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 = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = 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> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = 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> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: 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]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: 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> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: 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> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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 = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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 = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:552:1: required from ‘bool atomic::atomicinvpd::reverse(size_t, const CppAD::vector&, const CppAD::vector&, CppAD::vector&, const CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 580 | matrix res=-matmul(Yt,tmp); // -f2(X)^T*W2*f2(X)^T | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:552:1: required from here 60 | virtual bool reverse(size_t q, const CppAD::vector& tx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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 > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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 > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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 > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:552:1: required from ‘bool atomic::atomicinvpd::reverse(size_t, const CppAD::vector&, const CppAD::vector&, CppAD::vector&, const CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 581 | res = res + Y*W1; | ~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:552:1: required from here 60 | virtual bool reverse(size_t q, const CppAD::vector& tx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘bool atomic::atomicmatmul::reverse(size_t, const CppAD::vector&, const CppAD::vector&, CppAD::vector&, const CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 482 | matrix Xt = vec2mat(tx, n1, n2, 2).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 60 | virtual bool reverse(size_t q, const CppAD::vector& tx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘void atomic::matmul(const CppAD::vector&, CppAD::vector&) [with Double = double]’ 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘bool atomic::atomicmatmul::forward(size_t, size_t, const CppAD::vector&, CppAD::vector&, const CppAD::vector&, CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 57 | ATOMIC_NAME(tx, ty); \ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 46 | virtual bool forward(size_t p, size_t q, const CppAD::vector& vx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘void atomic::matmul(const CppAD::vector&, CppAD::vector&) [with Double = double]’ 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘bool atomic::atomicmatmul::forward(size_t, size_t, const CppAD::vector&, CppAD::vector&, const CppAD::vector&, CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 57 | ATOMIC_NAME(tx, ty); \ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 46 | virtual bool forward(size_t p, size_t q, const CppAD::vector& vx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘void atomic::matmul(const CppAD::vector&, CppAD::vector&) [with Double = double]’ 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘bool atomic::atomicmatmul::forward(size_t, size_t, const CppAD::vector&, CppAD::vector&, const CppAD::vector&, CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 57 | ATOMIC_NAME(tx, ty); \ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 46 | virtual bool forward(size_t p, size_t q, const CppAD::vector& vx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘void atomic::matmul(const CppAD::vector&, CppAD::vector&) [with Double = double]’ 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘bool atomic::atomicmatmul::forward(size_t, size_t, const CppAD::vector&, CppAD::vector&, const CppAD::vector&, CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 57 | ATOMIC_NAME(tx, ty); \ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 46 | virtual bool forward(size_t p, size_t q, const CppAD::vector& vx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘void atomic::matmul(const CppAD::vector&, CppAD::vector&) [with Double = double]’ 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘bool atomic::atomicmatmul::forward(size_t, size_t, const CppAD::vector&, CppAD::vector&, const CppAD::vector&, CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 57 | ATOMIC_NAME(tx, ty); \ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 46 | virtual bool forward(size_t p, size_t q, const CppAD::vector& vx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘void atomic::matmul(const CppAD::vector&, CppAD::vector&) [with Double = double]’ 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘bool atomic::atomicmatmul::forward(size_t, size_t, const CppAD::vector&, CppAD::vector&, const CppAD::vector&, CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 57 | ATOMIC_NAME(tx, ty); \ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 46 | virtual bool forward(size_t p, size_t q, const CppAD::vector& vx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/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> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘void atomic::matmul(const CppAD::vector&, CppAD::vector&) [with Double = double]’ 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘bool atomic::atomicmatmul::forward(size_t, size_t, const CppAD::vector&, CppAD::vector&, const CppAD::vector&, CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 57 | ATOMIC_NAME(tx, ty); \ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 46 | virtual bool forward(size_t p, size_t q, const CppAD::vector& vx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘void atomic::matmul(const CppAD::vector&, CppAD::vector&) [with Double = double]’ 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘bool atomic::atomicmatmul::forward(size_t, size_t, const CppAD::vector&, CppAD::vector&, const CppAD::vector&, CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 57 | ATOMIC_NAME(tx, ty); \ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 46 | virtual bool forward(size_t p, size_t q, const CppAD::vector& vx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘void atomic::matmul(const CppAD::vector&, CppAD::vector&) [with Double = double]’ 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘bool atomic::atomicmatmul::forward(size_t, size_t, const CppAD::vector&, CppAD::vector&, const CppAD::vector&, CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 57 | ATOMIC_NAME(tx, ty); \ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 46 | virtual bool forward(size_t p, size_t q, const CppAD::vector& vx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘void atomic::matmul(const CppAD::vector&, CppAD::vector&) [with Double = double]’ 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘bool atomic::atomicmatmul::forward(size_t, size_t, const CppAD::vector&, CppAD::vector&, const CppAD::vector&, CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 57 | ATOMIC_NAME(tx, ty); \ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 46 | virtual bool forward(size_t p, size_t q, const CppAD::vector& vx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘void atomic::matmul(const CppAD::vector&, CppAD::vector&) [with Double = double]’ 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘bool atomic::atomicmatmul::forward(size_t, size_t, const CppAD::vector&, CppAD::vector&, const CppAD::vector&, CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 57 | ATOMIC_NAME(tx, ty); \ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 46 | virtual bool forward(size_t p, size_t q, const CppAD::vector& vx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘void atomic::matmul(const CppAD::vector&, CppAD::vector&) [with Double = double]’ 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘bool atomic::atomicmatmul::forward(size_t, size_t, const CppAD::vector&, CppAD::vector&, const CppAD::vector&, CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 57 | ATOMIC_NAME(tx, ty); \ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 46 | virtual bool forward(size_t p, size_t q, const CppAD::vector& vx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘void atomic::matmul(const CppAD::vector&, CppAD::vector&) [with Double = double]’ 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘bool atomic::atomicmatmul::forward(size_t, size_t, const CppAD::vector&, CppAD::vector&, const CppAD::vector&, CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 57 | ATOMIC_NAME(tx, ty); \ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 46 | virtual bool forward(size_t p, size_t q, const CppAD::vector& vx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/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, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘void atomic::matmul(const CppAD::vector&, CppAD::vector&) [with Double = double]’ 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘bool atomic::atomicmatmul::forward(size_t, size_t, const CppAD::vector&, CppAD::vector&, const CppAD::vector&, CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 57 | ATOMIC_NAME(tx, ty); \ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 46 | virtual bool forward(size_t p, size_t q, const CppAD::vector& vx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘void atomic::matmul(const CppAD::vector&, CppAD::vector&) [with Double = double]’ 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘bool atomic::atomicmatmul::forward(size_t, size_t, const CppAD::vector&, CppAD::vector&, const CppAD::vector&, CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 57 | ATOMIC_NAME(tx, ty); \ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 46 | virtual bool forward(size_t p, size_t q, const CppAD::vector& vx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘void atomic::matmul(const CppAD::vector&, CppAD::vector&) [with Double = double]’ 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘bool atomic::atomicmatmul::forward(size_t, size_t, const CppAD::vector&, CppAD::vector&, const CppAD::vector&, CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 57 | ATOMIC_NAME(tx, ty); \ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 46 | virtual bool forward(size_t p, size_t q, const CppAD::vector& vx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘void atomic::matmul(const CppAD::vector&, CppAD::vector&) [with Double = double]’ 475 | Z = X * Y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from ‘bool atomic::atomicmatmul::forward(size_t, size_t, const CppAD::vector&, CppAD::vector&, const CppAD::vector&, CppAD::vector&) [with Type = double; size_t = long unsigned int]’ 57 | ATOMIC_NAME(tx, ty); \ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:459:1: required from here 46 | virtual bool forward(size_t p, size_t q, const CppAD::vector& vx, \ | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o tramME.so init.o tramTMB.o -fopenmp -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpBoDlZg/R.INSTALLdb98b72040ef3/tramME/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-tramME/00new/tramME/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 (tramME) checking randomForestSRC_3.3.2.tar.gz ... checking AutoScore_1.0.0.tar.gz ... checking boostmtree_1.5.1.tar.gz ... checking cjbart_0.3.2.tar.gz ... checking CoxAIPW_0.0.3.tar.gz ... checking ggRandomForests_2.2.1.tar.gz ... checking glmnetr_0.5-4.tar.gz ... checking precmed_1.1.0.tar.gz ... checking ranktreeEnsemble_0.23.tar.gz ... checking SIMMS_1.3.2.tar.gz ... checking survcompare_0.2.0.tar.gz ... checking survivalSL_0.96.tar.gz ... checking tehtuner_0.3.0.tar.gz ... checking familiar_1.5.0.tar.gz ... checking MachineShop_3.8.0.tar.gz ... checking mlrCPO_0.3.7-7.tar.gz ... checking multipleOutcomes_0.4.tar.gz ... checking PheCAP_1.2.1.tar.gz ... checking riskRegression_2023.12.21.tar.gz ... checking survex_1.2.0.tar.gz ... checking tram_1.2-0.tar.gz ... Depends: Package: randomForestSRC Depends: R (>= 4.3.0), Imports: parallel, data.tree, DiagrammeR Timings: user system elapsed randomForestSRC 101.823 5.693 110.076 Results: Check status summary: NOTE OK Source packages 0 1 Reverse depends 3 17 Check results summary: randomForestSRC ... OK rdepends_AutoScore ... OK rdepends_boostmtree ... OK rdepends_cjbart ... OK rdepends_CoxAIPW ... OK rdepends_familiar ... OK rdepends_ggRandomForests ... OK rdepends_glmnetr ... OK rdepends_MachineShop ... OK rdepends_mlrCPO ... NOTE * checking Rd cross-references ... NOTE rdepends_multipleOutcomes ... OK rdepends_PheCAP ... OK rdepends_precmed ... OK rdepends_ranktreeEnsemble ... NOTE * checking Rd cross-references ... NOTE rdepends_riskRegression ... NOTE * checking Rd cross-references ... NOTE rdepends_SIMMS ... OK rdepends_survcompare ... OK rdepends_survex ... OK rdepends_survivalSL ... OK rdepends_tehtuner ... OK rdepends_tram ... OK